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About Us:webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.About the Role:The AI Research Scientist will contribute to webAI’s development of next-generation AI models and systems. In this role, you will design, train, evaluate, and optimize cutting-edge machine learning models including large language models, multimodal architectures, and on-device inference systems. You will work closely with research leadership, applied AI teams, and platform engineering to advance scientific discovery while ensuring that innovations translate into real-world impact.This is a hands-on research role for someone who loves experimentation, solving complex problems, and building AI that is powerful, efficient, and privacy-preserving. Responsibilities:Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architecturesConduct research on model efficiency, quantization, compression, and on-device deploymentPrototype novel model architectures, training methods, and inference strategies for distributed AIDevelop and evaluate benchmarks, datasets, and experimental frameworks to test model performanceCollaborate with engineering teams to integrate research findings into production systemsStay current on leading research in deep learning, generative AI, and distributed MLAnalyze experimental results and communicate insights clearly to technical and non-technical stakeholdersDocument research findings, contribute to internal papers, and present technical work across the organizationIdentify emerging technologies and propose research directions aligned with webAI’s strategic priorities Qualifications:4+ years of experience (can be graduate research) in machine learning research, AI model development, or related fieldsStrong expertise in deep learning architectures including transformers, CNNs, RNNs, and diffusion modelsHands-on experience training and fine-tuning large-scale modelsProficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAXExperience building datasets, designing experiments, and validating ML model performanceDeep understanding of optimization techniques including quantization, distillation, pruning, and hardware-aware trainingStrong problem-solving skills and ability to work independently on complex research tasksEffective communication skills for presenting research findings to diverse audiencesBachelor’s degree in Computer Science, Engineering, Mathematics, or a related field Preferred SkillsMaster’s or PhD in Machine Learning, Computer Science, AI, or a related fieldExperience with distributed training, edge inference, or on-device MLResearch experience in generative AI, reinforcement learning, or multimodal learningFamiliarity with privacy-preserving ML techniques such as federated learningExperience contributing to academic publications, patents, or open-source ML projectsComfort operating in a fast-paced, high-growth startup environment We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match (US-based only)$200/mos Health and Wellness Stipend$400/year Continuing Education Credit$500/year Function Health subscription (US-based only)Free parking, for in-office employeesUnlimited Approved PTOParental Leave for Eligible EmployeesSupplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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About the role We’re hiring an AI Architect to sit at the intersection of frontier AI research, product, and go-to-market. You’ll partner closely with ML teams in high-stakes meetings, scope and pitch solutions to top AI labs, and translate research needs (post-training, evals, alignment) into clear product roadmaps and measurable outcomes. You’ll drive end-to-end delivery—partnering with AI research teams and core customers to scope, pilot, and iterate on frontier model improvements—while coordinating with engineering, ops, and finance to translate cutting-edge research into deployable, high-impact solutions. What you’ll do Translate research → product: work with client side researchers on post-training, evals, safety/alignment and build the primitives, data, and tooling they need. Partner deeply with core customers and frontier labs: work hands-on with leading AI teams and frontier research labs to tackle hard, open-ended technical problems related to frontier model improvement, performance, and deployment. Shape and propose model improvement work: translate customer and research objectives into clear, technically rigorous proposals—scoping post-training, evaluation, and safety work into well-defined statements of work and execution plans. Translate research into production impact: collaborate with customer-side researchers on post-training, evaluations, and alignment, and help design the data, primitives, and tooling required to improve frontier models in practice. Own the end-to-end lifecycle: lead discovery, write crisp PRDs and technical specs, prioritize trade-offs, run experiments, ship initial solutions, and scale successful pilots into durable, repeatable offerings. Lead complex, high-stakes engagements: independently run technical working sessions with senior customer stakeholders; define success metrics; surface risks early; and drive programs to measurable outcomes. Partner across Scale: collaborate closely with research (agents, browser/SWE agents), platform, operations, security, and finance to deliver reliable, production-grade results for demanding customers. Build evaluation rigor at the frontier: design and stand up robust evaluation frameworks (e.g., RLVR, benchmarks), close the loop with data quality and feedback, and share learnings that elevate technical execution across accounts. You have Deep technical background in applied AI/ML: 5–10+ years in research, engineering, solutions engineering, or technical product roles working on LLMs or multimodal systems, ideally in high-stakes, customer-facing environments. Hands-on experience with model improvement workflows: demonstrated experience with post-training techniques, evaluation design, benchmarking, and model quality iteration. Ability to work on hard, ambiguous technical problems: proven track record of partnering directly with advanced customers or research teams to scope, reason through, and execute on deep technical challenges involving frontier models. Strong technical fluency: you can read papers, interrogate metrics, write or review complex Python/SQL for analysis, and reason about model-data trade-offs. Executive presence with world-class researchers and enterprise leaders; excellent writing and storytelling. Bias to action: you ship, learn, and iterate. How you’ll work Customer-obsessed: start from real research needs; prototype quickly; validate with data. Cross-functional by default: align research, engineering, ops, and GTM on a single plan; communicate clearly up and down. Field-forward: expect regular customer time and research leads; light travel as needed. What success looks like Clear wins with top labs: pilots that convert to scaled programs with strong eval signals. Reusable alignment & eval building blocks that shorten time-to-value across accounts. Crisp internal docs (PRDs, experiment readouts, exec updates) that drive decisions quickly. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$190,000—$230,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About MercorMercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $1.5 million a day.Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our new San Francisco headquarters.About the RoleAs a Research Engineer at Mercor, you’ll work at the intersection of engineering and applied AI research. You’ll contribute directly to post-training and RLVR, synthetic data generation, and large-scale evaluation workflows that meaningfully impact frontier language models.Your work will be used to train large language models to master tool use, agentic behavior, and real-world reasoning in real-world production environments. You’ll shape rewards, run post-training experiments, and build scalable systems that improve model performance. You’ll help design and evaluate datasets, create scalable data augmentation pipelines, and build rubrics and evaluators that push the boundaries of what LLMs can learn.What You’ll DoWork on post-training and RLVR pipelines to understand how datasets, rewards, and training strategies impact model performance.Design and run reward-shaping experiments and algorithmic improvements (e.g., GRPO, DAPO) to improve LLM tool-use, agentic behavior, and real-world reasoning.Quantify data usability, quality, and performance uplift on key benchmarks.Build and maintain data generation and augmentation pipelines that scale with training needs.Create and refine rubrics, evaluators, and scoring frameworks that guide training and evaluation decisions.Build and operate LLM evaluation systems, benchmarks, and metrics at scale.Collaborate closely with AI researchers, applied AI teams, and experts producing training data.Operate in a fast-paced, experimental research environment with rapid iteration cycles and high ownership.What We’re Looking ForStrong applied research background, with a focus on post-training and/or model evaluation.Strong coding proficiency and hands-on experience working with machine learning models.Strong understanding of data structures, algorithms, backend systems, and core engineering fundamentals.Familiarity with APIs, SQL/NoSQL databases, and cloud platforms.Ability to reason deeply about model behavior, experimental results, and data quality.Excitement to work in person in San Francisco, five days a week (with optional remote Saturdays), and thrive in a high-intensity, high-ownership environment.Nice To HaveReal-world post-training team experience in industry (highest priority).Publications at top-tier conferences (NeurIPS, ICML, ACL).Experience training models or evaluating model performance.Experience in synthetic data generation, LLM evaluations, or RL-style workflows.Work samples, artifacts, or code repositories demonstrating relevant skills.BenefitsGenerous equity grant vested over 4 yearsA $20K relocation bonus (if moving to the Bay Area)A $10K housing bonus (if you live within 0.5 miles of our office)A $1K monthly stipend for mealsFree Equinox membershipHealth insurance

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At Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like Linear, Figma, Riot Games, Anthropic, Spotify, Arc’teryx, and Morningbrew are using Sanity to power and automate their content operations.AI is fundamentally changing how developers build applications. Vibecoding tools are seeing hundreds of thousands of signups per month, and professional developers now use AI-powered tooling as standard. Your team will capture this wave by building native integrations with the fastest-growing developer tools, improving our MCP server (incl. MCP Apps with UIs), and creating agentic builders that let anyone set up Sanity through natural language. You'll combine Growth's experiment-driven culture with deep technical work on AI developer experience. This is Sanity's biggest acquisition opportunity for product growth, and your team owns it end-to-end.Here's some of what the team has shipped recently:Sanity MCP Server – our remote MCP server, now generally available and listed as one of eight official MCP servers in Vercel's v0.Sanity Agent Toolkit – agent rules exposed via MCP, plus a Claude Code plugin with skills and slash commands.Auto-configured MCP in the CLI – the Sanity CLI automatically detects code editors and configures the MCP server for you.What you would do:Lead a team of engineers – help them prioritize for impact, grow in their careers, and do the best work of their lives.Own strategy, roadmap, and execution – work closely with your product and design partners to decide what to build and make sure it ships.Drive growth metrics – activation rates, signups from integrations, developer adoption. You'll know what's working because you're measuring it.Ship fast and iterate – run experiments, learn from failures, and double down on wins. The vast majority of experiments fail, so we value speed and pragmatism over perfection.Build AI developer tools – MCP integrations, agentic builders, and partnerships with the platforms where developers are building today.Build platform integrations – connect Sanity to the tools teams already use, like storage providers (Google Drive, Dropbox) and analytics platforms.Set technical direction – guide architecture decisions that balance velocity with maintainability across TypeScript, React, and Node.js, & Go microservicesCollaborate across the company – align with engineering leadership, marketing, and partnerships on shared growth metrics and goals.About you:Based in San Francisco – able to work from the office regularly.1+ years of engineering management experience – ideally in growth or experimentation-heavy environments.Strong full-stack technical skills – deep experience with TypeScript, React, Node.js, and Next.js. You can review code, guide architecture decisions, and jump in when needed. Not looking for managers who've drifted far from the code.Actively using MCP and AI tools – you've used MCP servers in your own workflow and have opinions on tools like Cursor, Claude Code, Lovable, and v0. You can articulate the differences between Claude Opus 4.5, Gemini 3, and GPT-5.2.Growth engineering experience – you've run A/B tests, optimized funnels, and made data-informed decisions. Familiarity with tools like GrowthBook, Amplitude, or similar.Strong cross-functional collaborator – you work well with product, design, marketing, and partnerships, and you're effective at managing stakeholders across the company.Comfortable with ambiguity – you can drive clarity when the path isn't obvious and make good decisions with incomplete information.Bias for action – you'd rather ship something and learn than plan forever. You know when to be scrappy and when to invest in quality.Not sure you meet every requirement? If you're excited about leading at the intersection of AI and growth, we want to hear from you. What we can offer:A highly-skilled, inspiring, and supportive teamPositive, flexible, and trust-based work environment that encourages long-term professional and personal growthA global, multi-culturally diverse group of colleagues and customersComprehensive health plans and perksA healthy work-life balance that accommodates individual and family needsCompetitive stock options program and location-based salarySalary Range: $240K - $290K annually. Final compensation within this range will be determined based on the candidate’s experience and skill set.Who we are:Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business.Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years.You can only build a great company with a great culture. Sanity is a 200+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here!Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

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About Enterpret  At Enterpret, we are building customer feedback intelligence for product development teams. We are solving complex problems in natural language processing, serverless computing, analytics on frontend, pushing the envelope of what’s possible by applying first principle thinking. We are backed by some of the most storied VC firms like Kleiner Perkins, and Sequoia Capital who share our conviction. We are also lucky to have some of the most respected product development teams like Canva, Notion, Samsung and Loom, as our customers. We love working with folks who are resourceful, thrive in ambiguity, and display a strong sense of ownership. Our engineering culture is built around leveraging and contributing to open-source tools. We aim to build upon and improve state-of-the-art systems in our field of work. Read more about our team, core values, and operating principles - here. What You’ll Do Build and scale core backend systems that power our customer feedback intelligence platform. Partner closely with the founding team to develop features and ship quickly. Solve complex engineering challenges in distributed systems and ML infrastructure. Design cost-effective and scalable solutions using modern backend architectures. Collaborate cross-functionally with design, frontend, and data science teams. Contribute to product direction with ideas and proof-of-concepts. Continuously raise the bar on reliability, scalability, and engineering excellence. What It Takes 6+ years in software engineering, with a proven record of building and shipping reliable systems. 3+ years at one organization where you’ve built systems from scratch and led projects. Deep expertise in distributed systems, domain modeling, and event-driven/microservices architectures. Proficiency in at least one of our core stack areas: Golang, serverless architectures, SQL/NoSQL databases, ElasticSearch, GraphQL, or microservices. Experience working with CI/CD pipelines and automated testing. Strong interpersonal skills with a track record of mentoring and collaborating with other engineers. Analytical and organizational ability to break down and solve ambiguous problems. Why Enterpret? High Impact: Build foundational systems at an early-stage startup where every line of code matters. Ownership: End-to-end responsibility for features and systems. Complex Challenges: Work on state-of-the-art ML platforms, distributed infra, and real-time analytics. Growth: Learn and grow with a high-caliber team and expand into leadership or deep technical expertise. Culture: Open, collaborative, and values-driven environment with autonomy. Benefits: Competitive salary, equity, hybrid work setup, premium healthcare, and more. What We Value At Enterpret, we operate with a deep sense of ownership — we play for the team and do what it takes to win together. We care personally for our teammates while pushing each other with honest, actionable feedback. Above all, we approach everything with humility and a drive to keep learning and getting better.   Equal Opportunities We are an equal opportunity employer. We ensure that none of our employees or prospective employees receives less favourable treatment as a result of age, sex, disability, marital status, colour, race, religion or ethnic origin. Equally we aim to ensure that no such employee is disadvantaged by terms and conditions of employment which cannot be justified.  

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Vatic is looking for an AI engineer with proven experience with large foundational models.  Our environment is highly collaborative, fostering innovation and growth. We are interested in a variety of data modalities (language, vision, multimodal, and structured data) and modern model architectures. We are looking for team players who are interested in developing next-generation platforms and tools for Machine Learning as well as conducting state-of-the-art research.  As an AI Engineer you will: Play a crucial role in designing and developing cutting-edge frameworks that can serve as the future tools to help develop innovative platforms and systems that drive our trading and research efforts, with a different lens through foundational models.  Work closely with a team of passionate researchers and engineers to make sure such frameworks are compatible with recent cloud platforms, popular ML frameworks and libraries, as well as modern model architectures. play a central role in defining and running large-scale experiments that contribute towards rigorous evaluation and in-depth model analysis. We employ a team of talented engineers who have been recognized as leaders in our field. We are passionate about hiring the best and brightest, empowering them with the tools and freedom they need to be successful.   If you possess the following, we would love to explore what is available for you with our team: Keen interest in training, evaluation, understanding, and innovation of foundational models Advanced proficiency with Python development in a Linux environment Strong understanding of machine learning, deep learning, and generative AI methods and technologies Direct experience with multi-GPU model training Demonstrable success building high performance software Performance tuning/optimization of software and algorithms Familiarity with parallel computing models and frameworks Strong analytical and problem-solving skills A passion for trading, research, and technology Excitement and interest in using readily available open source technologies and prototypes Excellent communication skills Confident team player motivated by a fast-paced environment At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect: Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one. Comprehensive health benefits – Full health insurance coverage for employees and dependents. Daily meals provided – Enjoy free breakfast, lunch, and dinner at the office. Gym membership – Stay healthy with a gym reimbursement, in addition to our onsite gym.  Unlimited office snacks – Fuel your day with your favorite snacks, always stocked. Fun team outings – Build camaraderie and unwind with regular events. Organized poker, ping pong, and game nights – We’re a competitive group that enjoys getting together to challenge one another. The base salary range for this role is between $175,000 and $275,000. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits.  Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.

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Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right inAbout the Role: The Director, Forward Deployed Engineering & AI GTM Lead owns the technical execution, go-to-market effectiveness, and organizational adoption of Aircall’s AI Communication Agent. This role leads and scales the Forward Deployed Engineering (FDE) team while remaining closely engaged in customer-facing work to ensure consistency, quality, and impact across all deployments. Operating at the intersection of Applied AI, technical delivery, and go-to-market execution, this leader works across Sales, Account Management, Product, Engineering, Marketing, and Support to ensure AVA is successfully positioned, implemented, and scaled. The role plays a critical part in shaping how Aircall brings AI to market - translating field execution into repeatable models, and customer learnings into product and GTM evolution.Key Responsibilities:Lead, coach, and grow the Forward Deployed Engineering team from 3 FDEs today to 7–8 by H1 ‘26, setting clear standards for technical excellence, execution rigor, and customer impact.Stay closely involved in active customer engagements and strategic initiatives, providing technical guidance, solution direction, and senior-level support where needed.Drive strong AI Agents go-to-market execution by embedding disciplined operating practices across the team, including pipeline hygiene, forecasting accuracy, and effective collaboration with Sales, AM, SE, Partners, and CEs.Pilot the team using data-backed operating models, defining and tracking clear input and output KPIs to assess performance, drive accountability, and accelerate AI Agent adoption (e.g., activity metrics, time-to-value, deployment quality, usage and revenue impact).Maintain deep technical credibility by staying close to the product and real-world use cases — comfortable coding in at least one language and highly fluent with APIs, integrations, and modern system architectures.Guide the design and delivery of scalable AI Agent deployments, including integrations with CRMs, help desks, and System-of-Truth platforms.Build and evolve playbooks, reference architectures, and deployment frameworks that enable repeatable, high-quality execution as the team scales.Lead cross-functional programs focused on AI Agents success, coordinating efforts across Product, Engineering, Marketing, Support, and GTM teams.Represent field execution and customer needs in close partnership with Product and Engineering, influencing roadmap priorities and delivery decisions.Drive internal enablement and upskilling across GTM teams, ensuring Aircall Voice Agent is clearly understood, well-positioned, and effectively adopted. Qualifications:7+ years of experience in technical sales, solutions engineering, forward-deployed engineering, or professional services roles, with prior people-management experience strongly preferred.Strong entrepreneurial mindset, as this is a startup within a startup (even better if former founder)Strong technical foundation, including hands-on experience with APIs, integrations, and data-driven systems; ability to code in at least one language (e.g., Python or JavaScript).Demonstrated ability to lead execution in complex, cross-functional environments while staying close to the field.Experience working within overlay or specialist GTM models, with strong understanding of sales cycles, forecasting, and execution best practices.Proven ability to build scalable playbooks and operating models that move teams beyond ad hoc delivery.Excellent communication and stakeholder management skills, translating between technical and business audiences.Strong interest in AI and applied automation; prior experience in AI, conversational AI, or adjacent domains is a significant plus.Experience with CRMs, help desks, and System-of-Truth architectures is highly desirable. What Success Looks LikeAgents are consistently deployed with high quality and clear business impact across customers.The FDE team scales effectively with shared standards, reusable frameworks, and predictable execution.Go-to-market execution for Agents is disciplined, data-driven, and improving quarter over quarter.Cross-functional teams operate with strong alignment around AI Agents' priorities, launches, and roadmap decisions.Field learnings continuously inform product evolution and GTM strategy, strengthening Aircall’s leadership in applied AI. 160,000 - 200,000 a yearThis base range is not including an annual bonus (60/40 split), equity, and other benefits. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, and experience. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆‍♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💵 Competitive salary package & equity🏨 Medical, dental, and vision insurance is 100% covered📈 401k plan with company matching!✈️ Unlimited PTO — take the time you need to come to work feeling great!⭐️ Wellness, commuter, and childcare reimbursements💚 Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.  We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.   We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here.

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Our mission is to make exceptional healthcare accessible anytime, anywhere, for everyone.At Assort Health, we believe healthcare should feel effortless and connected — quick answers, clear communication, and seamless access to care. That’s why we’re building a new foundation for how patients and providers connect, driven by AI, built to embrace the complexities of healthcare, and tailored to each provider’s unique needs.Assort is the most comprehensive patient experience platform powered by specialty-specific agentic AI. Assort’s omnichannel AI agents seamlessly integrate with EHR/PMS and complicated provider preferences to eliminate lengthy hold times and inefficiencies that stand in the way of patients getting the care they need.Since launching in 2023, Assort has managed over 65M+ patient interactions, slashing average hold times from 11 minutes to 1 minute. Our platform now handles calls for thousands of providers with 98%+ resolution rates and 99% scheduling accuracy. Patient satisfaction averages 4.4/5, and we’ve achieved 11× revenue growth since Q4 2024. We’re scaling rapidly and expanding adoption across the entire healthcare industry.About the RoleWe're on the hunt for driven, hacky and scrappy product-minded Engineers to join our team at an exciting stage of our startup's journey. If you're eager to contribute to building and scaling innovative products, this role is your ticket to making a significant impact. You'll gain hands-on experience in a dynamic startup environment, working with and contributing to cutting-edge generative AI and voice/transcription models + technologies.As part of our first 30 Engineers, you will be a cornerstone to our company's growth and success. If you are a self-starter who is ready to wear many hats and build and scale products from zero-one, then this is the perfect role for you. You’ll have lots of autonomy and will need to be comfortable operating in ambiguous situations with an entrepreneurial mindset.What You'll DoBe involved in key decisions alongside the foundersWork closely with our world-class engineering team to develop features and products from the ground up.Enjoy a high degree of autonomy, tasked with solving complex problems in innovative ways.Participate actively in design and development discussions, contributing fresh ideas and perspectives.Engage with healthcare professionals to tailor software solutions that meet real-world needs.Play a role in an agile team, prioritizing rapid development and deployment to meet our ambitious goals.You will develop scalable software solutions that comply with HIPAA and other security standards.What We're Looking For1+ years of industry experience, with a proven track record of impact at a major tech company or a high-growth startup.Strong engineering fundamentals and a demonstrated ability to design, build, and scale production-grade applications or systems.Willingness to wear multiple hats—from design and development to testing and occasional support. Comfortable with rapid iteration, experimentation, and learning from failure in a fast-paced environment.Benefits & Perks for Assorties💸 Competitive Compensation – Including salary and employee stock options so you share in our success.📚 Lifelong Learning – Annual budget for professional development, plus training opportunities to help you grow.💻 Office Setup Stipend – We’ll outfit your in-office workspace so comfy as it's productive.🩺 Top-Tier Health Coverage – Medical, dental, and vision insurance, because your health comes first.🏖 Unlimited PTO – We trust you to take the time you need to recharge and come back ready to crush it.🥗 Meals & Snacks – Lunch, dinner, and snack breaks that fuel great ideas.💪 Fitness Stipend – Your wellness matters. We reimburse monthly membership costs to support your health.🚆 Commuter Benefits – We cover eligible transportation costs to make your trip to work easier.👵 401(k) – Let us help you plan for the future. We’ve got you covered.How We Work & What We ValueOur team at Assort Health moves fast, stays focused, and is fueled by a desire to serve our customers and patients. Our company values guide how we work—they are present in how we show up, make decisions and work together to move our mission forward. We bring a Day One Drive, relentlessly striving to improve, keep a 5-Star Focus, as our customers are our lifeblood, always Answer the Call, remembering that ownership and accountability are paramount, and show up with One Pulse, because we are one team, with one rhythm and one result.Our team is growing and we are looking for motivated, hardworking, and passionate talent. If you want to make healthcare accessible for everyone, we’d love to hear from you!

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Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity To achieve our ambitious goals, we’re looking for an Applied Research Scientist with a keen interest and background in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our Agents team. The team builds user-facing features that work in all Superhuman applications. We help our users write better, faster, and more effectively while working in big groups. The person in this role will bring their unique perspective to our product development process by contributing to ideation and defining the solution space. Based on their deep grasp of ML/DL/NLP concepts, the Applied Researcher will define the approach to solving the complex problems. The role will also build the intelligent functionality of our product offerings. Superhuman's engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog. Your Impact As an Applied Research Scientist, you will have the opportunity to harness your passion for building exciting new product offerings that will impact millions of lives. To do this, you'll need to stay up-to-date on the quickly evolving field of NLP while also focusing on building production systems. In this role, you will: Develop state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. Productize and ship these features into Superhuman's product offerings, which millions of users use daily. Stay up-to-date with the latest research trends that could improve our product. Contribute to the research strategy and technical culture of the company. Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant. Qualifications Strong theoretical foundation in ML/DL algorithms and methodologies. Minimum 6–7 years of industry experience in researching and developing ML/DL technologies for real-world products. Additional 4–5 years of research experience in an academic environment (PhD or equivalent research background preferred). Deep experience in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs). Proven track record of applying ML/DL algorithms effectively to NLP tasks. Strong research mentality with a math-oriented mindset and ability to innovate in cutting-edge areas. Proficiency in at least one modern programming language (preferably Python). Demonstrated ability to translate research into scalable, production-ready solutions. Excellent command of spoken and written English, knowledge of additional languages is a plus. Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. Support for you, professionally and personally Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback. A connected team: Superhuman builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Superhuman Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.  Comprehensive benefits for candidates based in Germany: Superhuman offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more. Relocation Support: Superhuman provides comprehensive relocation support to make your move to Berlin seamless. Our package includes visa assistance, destination services to help you and your family settle in comfortably, and a relocation bonus to cover additional expenses, such as temporary housing. We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply. Superhuman is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age. For more details about the personal data Superhuman collects during the recruitment process, for what purposes, and how you can address your rights, please see the Superhuman Data Privacy Notice for Candidates here. #LI-Hybrid  

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HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.HackerOne ValuesHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.Senior Product Manager, AI SecurityRemote Location: Seattle, WA; San Francisco Bay Area; Austin, TX; Boston, MA; or Washington, DCPosition Summary HackerOne is seeking an exceptional Product Manager to spearhead the development of our cutting-edge AI Security product portfolio. As the owner of AI Security products, you will play a pivotal role in shaping the future of how organizations secure their artificial intelligence and machine learning systems. You will be at the forefront of defining and delivering innovative solutions that address emerging AI-specific threats.This is a strategic role that requires a deep understanding of both AI technologies and cybersecurity principles. You will be responsible for the entire product lifecycle, from ideation and strategy to execution and go-to-market, ensuring our AI security offerings are a market-leading force.At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role and we are open to hiring anywhere in the US, with candidates within ~50 miles of Seattle, WA; San Francisco Bay Area; Boston, MA; Austin, TX; or Washington, DC. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work.What You Will DoDrive strategy and execution for our AI Red Teaming offerings.Develop and maintain a multi-year product roadmap that aligns with the company's overall objectives and the evolving AI threat landscape.Lead the end-to-end product development lifecycle for AI security solutions. Gather and synthesize inputs from internal stakeholders, our security researcher community, customers, and partners.Translate complex customer AI security, as well as safety and trust, challenges into clear, concise and actionable product requirements and user stories in collaboration with Design, Engineering and Customer Operations.Collaborate with Product Marketing to launch and drive adoption of new AI security products and features. Act as a subject matter expert and evangelist for HackerOne's AI security solutions, presenting to customers, prospects, at industry events, and to internal teams.Maintain a deep understanding of the latest advancements in AI (across generative AI & machine learning), AI security research, security for AI systems, and competitive offerings to identify new opportunities and ensure HackerOne remains an innovator in this space.Minimum Qualifications 5+ years of Product Management experience in tech/SaaS businesses.Demonstrated ability to shape and drive AI adoption and strategy across domains by re-architecting security products, processes, and platforms around AI—embedding AI into how solutions are designed, built, and operated to deliver transformative protection against emerging AI threats.A proven track record of successfully launching and scaling technical products / platforms in high-growth businesses involving in-depth cross-functional collaboration and leadership across R&D and go-to-market functions.Deep understanding of cybersecurity technologies with direct product management experience in related cybersecurity fields, such as vulnerability management, penetration testing, application security, and related fields.Strategic thinker who can translate market trends, customer needs, and technical innovations into a clear product vision and actionable roadmap Deep empathy for customers / users in gathering and synthesizing input and a passion for solving their most pressing security challenges. Outstanding communication and leadership skills with a collaborative and team-oriented approach to identifying problems, determining potential solutions, and building consensus around your vision with internal and external stakeholders.Experience using data and metrics to inform product decisions and measure success.Experience leading product development in cloud services.Passion for cybersecurity in helping with HackerOne’s mission of empowering the world to build a safer internetPreferred Qualifications Bachelor's degree in Computer Science, Engineering, or related field.MBA degreeDomain experience with security research / hacking as part of red teaming, penetration testing and/or bug bounty programs, including methods, tools, and types of testing.Strong understanding of AI concepts, common vulnerabilities in AI systems, and the evolving AI threat landscape, including familiarity with AI security frameworks, tools and best practices.Compensation Bands: San Francisco$202K – $247K • Offers EquitySeattle, Austin, DC, Boston$182K – $222K • Offers Equity#LI-Remote#LI-HM1Job Benefits:Health (medical, vision, dental), life, and disability insurance*Equity stock optionsRetirement plansPaid public holidays and unlimited PTOPaid maternity and parental leaveLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)Employee Assistance ProgramFlexible Work Stipend*Eligibility may differ by countryWe're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

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Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right inAbout the Team Aircall’s Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows. We turn possibility into production — delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands-on role at the intersection of technical consulting, project leadership, and AI adoption strategy. You don’t need to be a full-time software engineer, but you should be fluent in APIs, very confident managing technical projects, and eager to continuously learn, build, and scale new models that empower both customers and teammates. About the Role As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers. You’ll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You’ll also play a key role in driving team upskilling, building reusable frameworks, and leading cross-functional initiatives that improve how Aircall deploys AI at scale. This is a hands-on role where you’ll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall’s platform and accelerate adoption. Please note, this is not a software engineering role. This is a hybrid, revenue driving role across Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership What you'll do:Lead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture.Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors.Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements.Configure and optimize the AI Agent — defining intents, prompts, actions, guardrails, and performance metrics.Manage complex, cross-functional deployments — defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent.Champion continuous learning and enablement — train peers, run internal workshops, and document best practices to raise the technical bar across the team.Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team.Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking.Own regional top-line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add-on quotas.Act as an internal product owner within the GTM function—defining product-specific MRR strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform.Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings.Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners.Maintain deep awareness of AI and CX industry trends, ensuring Aircall’s positioning remains competitive and insights continuously feed back into product and GTM strategies.What you'll bring:5–8 years in technical consulting, solutions engineering, or integration-focused project management.Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers.Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.Proven ability to lead cross-functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes.Excellent communication and stakeholder management skills, translating between technical and business audiences.A growth mindset — constantly learning new tools, frameworks, and ways to improve the customer experience and team capability. Nice-to-haves:Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT).Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).Exposure to scripting (JavaScript/Python) for light customization and debugging.What Success Looks Like: Consistent delivery of high-quality, scalable AI Agent deployments with clear business outcomes.Shortened time-to-first-value and increased automation adoption across SMB customers.Reusable frameworks, models, and templates actively used by peers and partners.Strong collaboration with Engineering and Product to enhance platform capabilities.Demonstrated leadership in team enablement and upskilling, with measurable impact on technical excellence.Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutions 11,000 - 115,000 a yearThis base range is not including a quarterly bonus, equity, and other benefits. The maximum OTE for this role is 190K, including a 75K bonus. The actual salary offered will carefully consider a wide range of factors, including your skills, location, qualifications, and experience.Why This Role is Unique This is a role for builders, connectors, and enablers. You’ll be at the intersection of AI innovation, customer experience, and scalable delivery — combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall’s internal capability to deploy AI faster and smarter. If you’re motivated by making cutting-edge technology accessible and impactful — while continuously learning and helping others do the same — this is the perfect next step in your career. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆‍♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💵 Competitive salary package & equity🏨 Medical, dental, and vision insurance is 100% covered📈 401k plan with company matching!✈️ Unlimited PTO — take the time you need to come to work feeling great!⭐️ Wellness, commuter, and childcare reimbursements💚 Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.  We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.   We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here.

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Our mission is to make exceptional healthcare accessible anytime, anywhere, for everyone.At Assort Health, we believe healthcare should feel effortless and connected — quick answers, clear communication, and seamless access to care. That’s why we’re building a new foundation for how patients and providers connect, driven by AI, built to embrace the complexities of healthcare, and tailored to each provider’s unique needs.Assort is the most comprehensive patient experience platform powered by specialty-specific agentic AI. Assort’s omnichannel AI agents seamlessly integrate with EHR/PMS and complicated provider preferences to eliminate lengthy hold times and inefficiencies that stand in the way of patients getting the care they need.Since launching in 2023, Assort has managed over 65M+ patient interactions, slashing average hold times from 11 minutes to 1 minute. Our platform now handles calls for thousands of providers with 98%+ resolution rates and 99% scheduling accuracy. Patient satisfaction averages 4.4/5, and we’ve achieved 11× revenue growth since Q4 2024. We’re scaling rapidly and expanding adoption across the entire healthcare industry.About UsAt Assort Health, we build AI-powered systems that help healthcare organizations deliver faster, clearer, and more human patient experiences. Our AI agents operate directly within real clinical workflows, reducing operational burden and improving access to care at scale.We focus on solving high-impact problems in healthcare operations—designing production-grade AI that clinicians and patients rely on every day. You’ll work closely with engineering, design, sales, and operations to lead new AI products from concept to launch, shaping how intelligent agents reason, act, and collaborate in complex healthcare environments. You will scope out new products and surface area end to end, leading the charge on new product workstreams 0→1. You’ll work directly with the CEO on a small yet quickly growing product team. Your work will directly improve healthcare access and the lives of both patients and providers.What You’ll DoLead Development of High-Performance AI AgentsAs a Product Manager for AI Agents, you’ll partner with engineering, design, and customers to build production-grade AI systems that manage high-volume, high-complexity interactions. You’ll be responsible for taking agents from concept to launch and continuously improving them as new business needs emerge.Work Directly With CustomersYou will engage deeply with customers: across technical, operational, and executive teams, to:Understand workflows, requirements, and bottlenecksDesign and present demos that showcase our capabilitiesCollaborate with technical stakeholders to solve integration challengesTailor and refine agents so they align with real business processesServe as a strategic advisor, helping customers shape long-term AI strategiesBuild strong, trusted relationships across customer organizationsInfluence the Product RoadmapYou’ll work with cross-functional partners to define requirements, prioritize features, and translate customer needs into actionable engineering work. You’ll help ensure we’re building the right capabilities at the right time to support our next phase of product growth.What You Bring3+ years developing and shipping technical productsPrevious experience as a Product Manager or equivalent roleAbility to craft compelling narratives for customers, including executivesStrong communication skills with both technical and non-technical audiencesFamiliarity with modern AI technologies and how they apply to real-world problemsBachelor’s degree in a technical field (or equivalent practical experience)Bonus SkillsExperience building or deploying AI agents or LLM-powered systemsAbility to write or read code: especially Python and TypescriptAbility to prototype and build demos and prototypes using AI coding toolsMBA or comparable business experienceBackground in customer-facing or consulting-style roles influencing product decisionsBenefits & Perks for Assorties💸 Competitive Compensation – Including salary and employee stock options so you share in our success.📚 Lifelong Learning – Annual budget for professional development, plus training opportunities to help you grow.💻 Office Setup Stipend – We’ll outfit your in-office workspace so comfy as it's productive.🩺 Top-Tier Health Coverage – Medical, dental, and vision insurance, because your health comes first.🏖 Unlimited PTO – We trust you to take the time you need to recharge and come back ready to crush it.🥗 Meals & Snacks – Lunch, dinner, and snack breaks that fuel great ideas.💪 Fitness Stipend – Your wellness matters. We reimburse monthly membership costs to support your health.🚆 Commuter Benefits – We cover eligible transportation costs to make your trip to work easier.👵 401(k) – Let us help you plan for the future. We’ve got you covered.How We Work & What We ValueOur team at Assort Health moves fast, stays focused, and is fueled by a desire to serve our customers and patients. Our company values guide how we work—they are present in how we show up, make decisions and work together to move our mission forward. We bring a Day One Drive, relentlessly striving to improve, keep a 5-Star Focus, as our customers are our lifeblood, always Answer the Call, remembering that ownership and accountability are paramount, and show up with One Pulse, because we are one team, with one rhythm and one result.Our team is growing and we are looking for motivated, hardworking, and passionate talent. If you want to make healthcare accessible for everyone, we’d love to hear from you!

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Our mission is to make exceptional healthcare accessible anytime, anywhere, for everyone.At Assort Health, we believe healthcare should feel effortless and connected — quick answers, clear communication, and seamless access to care. That’s why we’re building a new foundation for how patients and providers connect, driven by AI, built to embrace the complexities of healthcare, and tailored to each provider’s unique needs.Assort is the most comprehensive patient experience platform powered by specialty-specific agentic AI. Assort’s omnichannel AI agents seamlessly integrate with EHR/PMS and complicated provider preferences to eliminate lengthy hold times and inefficiencies that stand in the way of patients getting the care they need.Since launching in 2023, Assort has managed over 65M+ patient interactions, slashing average hold times from 11 minutes to 1 minute. Our platform now handles calls for thousands of providers with 98%+ resolution rates and 99% scheduling accuracy. Patient satisfaction averages 4.4/5, and we’ve achieved 11× revenue growth since Q4 2024. We’re scaling rapidly and expanding adoption across the entire healthcare industry.About the RoleWe're on the hunt for driven Senior Engineers to join our team at an exciting stage of our startup's journey. If you're eager to contribute to building and scaling innovative products, this role is your ticket to making a significant impact. You'll gain hands-on experience in a dynamic startup environment, working with and contributing to cutting-edge generative AI and voice/transcription models + technologies.As part of our first 20 Engineers, you will be a cornerstone to our company's growth and success. If you are a self-starter who is ready to wear many hats, build and scale products from zero-one, then this is the perfect role for you. You’ll have lots of autonomy and will need to be comfortable operating in ambiguous situations with an entrepreneurial mindset.What You'll DoYou'll have many responsibilities and will be involved in key decisions alongside the foundersWork closely with our world-class engineering team to develop features and products from the ground up.Enjoy a high degree of autonomy, tasked with solving complex problems in innovative ways.Participate actively in design and development discussions, contributing fresh ideas and perspectives.Engage with healthcare professionals to tailor software solutions that meet real-world needs.Play a role in an agile team, prioritizing rapid development and deployment to meet our ambitious goals.You will develop scalable software solutions that comply with HIPAA and other security standards.What We're Looking For4–8+ years of industry experience, with a proven track record of impact at a major tech company or a high-growth startup.Strong engineering fundamentals and a demonstrated ability to design, build, and scale production-grade applications or systems.Willingness to wear multiple hats—from design and development to testing and occasional support. Comfortable with rapid iteration, experimentation, and learning from failure in a fast-paced environment.Benefits & Perks for Assorties💸 Competitive Compensation – Including salary and employee stock options so you share in our success.📚 Lifelong Learning – Annual budget for professional development, plus training opportunities to help you grow.💻 Office Setup Stipend – We’ll outfit your in-office workspace so comfy as it's productive.🩺 Top-Tier Health Coverage – Medical, dental, and vision insurance, because your health comes first.🏖 Unlimited PTO – We trust you to take the time you need to recharge and come back ready to crush it.🥗 Meals & Snacks – Lunch, dinner, and snack breaks that fuel great ideas.💪 Fitness Stipend – Your wellness matters. We reimburse monthly membership costs to support your health.🚆 Commuter Benefits – We cover eligible transportation costs to make your trip to work easier.👵 401(k) – Let us help you plan for the future. We’ve got you covered.How We Work & What We ValueOur team at Assort Health moves fast, stays focused, and is fueled by a desire to serve our customers and patients. Our company values guide how we work—they are present in how we show up, make decisions and work together to move our mission forward. We bring a Day One Drive, relentlessly striving to improve, keep a 5-Star Focus, as our customers are our lifeblood, always Answer the Call, remembering that ownership and accountability are paramount, and show up with One Pulse, because we are one team, with one rhythm and one result.Our team is growing and we are looking for motivated, hardworking, and passionate talent. If you want to make healthcare accessible for everyone, we’d love to hear from you!

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The Offline Driving Intelligence team is responsible for developing Foundation Models for ML Agents and planning, applying them off-vehicle to provide generalization capabilities to simulation and validation. Our team collaborates closely with the Planner, Simulation and Validation teams to develop and validate our driving performance. As an ML Agents and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle.In this role, you will...You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for human-like agents. You will work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort and realism.You will contribute to our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the fieldYou will develop metrics and tools to analyze errors and understand improvements of our systemsYou will collaborate with engineers on Perception, Planning,Simulation, and Validation to solve the overall Autonomous Driving problem.QualificationsPhD degree in computer science or related field +1y of professional experience (top tier publications can remove the need for the year of experience) or, MSc +5y of professional experience in a relevant field.Experience in Planning and / or Prediction using Reinforcement Learning techniques Experience with training and deploying transformer-based model architecturesExperience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelinesFluency in Python with a basic understanding of C++Bonus QualificationsTop tier publications (NeurIPS, ICML, CVPR) 242,000 - 290,000 a yearThere are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity To achieve our ambitious goals, we’re looking for an Applied Research Scientist with a keen interest and background in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our Agents team. The team builds user-facing features that work in all Superhuman applications. We help our users write better, faster, and more effectively while working in big groups. The person in this role will bring their unique perspective to our product development process by contributing to ideation and defining the solution space. Based on their deep grasp of ML/DL/NLP concepts, the Applied Researcher will define the approach to solving the complex problems. The role will also build the intelligent functionality of our product offerings. Superhuman's engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog. Your Impact As an Applied Research Scientist, you will have the opportunity to harness your passion for building exciting new product offerings that will impact millions of lives. To do this, you'll need to stay up-to-date on the quickly evolving field of NLP while also focusing on building production systems. In this role, you will: Develop state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. Productize and ship these features into Superhuman's product offerings, which millions of users use daily. Stay up-to-date with the latest research trends that could improve our product. Contribute to the research strategy and technical culture of the company. Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant. Qualifications Strong theoretical foundation in ML/DL algorithms and methodologies. Minimum 6–7 years of industry experience in researching and developing ML/DL technologies for real-world products. Additional 4–5 years of research experience in an academic environment (PhD or equivalent research background preferred). Deep experience in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs). Proven track record of applying ML/DL algorithms effectively to NLP tasks. Strong research mentality with a math-oriented mindset and ability to innovate in cutting-edge areas. Proficiency in at least one modern programming language (preferably Python). Demonstrated ability to translate research into scalable, production-ready solutions. Excellent command of spoken and written English, knowledge of additional languages is a plus. Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. Support for you, professionally and personally Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback. A connected team: Superhuman builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Superhuman Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.  Comprehensive benefits for candidates based in Germany: Superhuman offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more. Relocation Support: Superhuman provides comprehensive relocation support to make your move to Berlin seamless. Our package includes visa assistance, destination services to help you and your family settle in comfortably, and a relocation bonus to cover additional expenses, such as temporary housing. We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply. Superhuman is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age. For more details about the personal data Superhuman collects during the recruitment process, for what purposes, and how you can address your rights, please see the Superhuman Data Privacy Notice for Candidates here. #LI-Hybrid  

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Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity To achieve our ambitious goals, we’re looking for an Applied Research Scientist with a keen interest and background in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our Agents team. The team builds user-facing features that work in all Superhuman applications. We help our users write better, faster, and more effectively while working in big groups. The person in this role will bring their unique perspective to our product development process by contributing to ideation and defining the solution space. Based on their deep grasp of ML/DL/NLP concepts, the Applied Researcher will define the approach to solving the complex problems. The role will also build the intelligent functionality of our product offerings. Superhuman's engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog. Your Impact As an Applied Research Scientist, you will have the opportunity to harness your passion for building exciting new product offerings that will impact millions of lives. To do this, you'll need to stay up-to-date on the quickly evolving field of NLP while also focusing on building production systems. In this role, you will: Develop state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. Productize and ship these features into Superhuman's product offerings, which millions of users use daily. Stay up-to-date with the latest research trends that could improve our product. Contribute to the research strategy and technical culture of the company. Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant. Qualifications Strong theoretical foundation in ML/DL algorithms and methodologies. Minimum 6–7 years of industry experience in researching and developing ML/DL technologies for real-world products. Additional 4–5 years of research experience in an academic environment (PhD or equivalent research background preferred). Deep experience in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs). Proven track record of applying ML/DL algorithms effectively to NLP tasks. Strong research mentality with a math-oriented mindset and ability to innovate in cutting-edge areas. Proficiency in at least one modern programming language (preferably Python). Demonstrated ability to translate research into scalable, production-ready solutions. Excellent command of spoken and written English, knowledge of additional languages is a plus. Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. Support for you, professionally and personally Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback. A connected team: Superhuman builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Superhuman Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.  Comprehensive benefits for candidates based in Germany: Superhuman offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more. Relocation Support: Superhuman provides comprehensive relocation support to make your move to Berlin seamless. Our package includes visa assistance, destination services to help you and your family settle in comfortably, and a relocation bonus to cover additional expenses, such as temporary housing. We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply. Superhuman is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age. For more details about the personal data Superhuman collects during the recruitment process, for what purposes, and how you can address your rights, please see the Superhuman Data Privacy Notice for Candidates here. #LI-Hybrid  

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Do you enjoy applying machine learning to complex, real-world problems in autonomous vehicle testing? The Simulation Scenario Generation team is looking for a ML Engineer to enable next-generation scalable AV scenario creation workflows. This ranges from generating large-scale traffic simulations to extending our agentic AI system to assist in synthetic scenario creation from a natural language test specification. This role offers a unique chance to deliver immediate user impact while contributing to long-term AI-driven safety validation.In this role, you will:Contribute to tooling for AI-based scenario understanding and validation.Synthesize realistic AV simulation scenarios with dynamic (e.g., traffic) and static features.Integrate and validate LLMs/VLMs and implement other models for complex scenario generation workflows, leveraging techniques like agentic tool use. Collaborate directly with internal customers and partner teams to provide generative AI solutions for their test creation workflows.Directly contribute to the safety and reliability of Zoox's autonomous software.QualificationsMS or PhD in Computer Science, Machine Learning, or related field5+ years of industry experience in Machine LearningProficiency in Python and ML libraries (PyTorch, JAX, NumPy, etc.) demonstrated through professional or research projectsDemonstrated experience in transformer and diffusion architecturesPractical experience in dataset creation for fine-tuning, system integration of ML models into production, or optimization techniques for low-latency inference systemsBonus QualificationsFamiliarity with autonomous vehicles, robotics, and/or complex simulation environmentsHands-on experience in areas like program synthesis and/or formal methods/V&VRelevant publications in conferences (e.g., CVPR, ICCV, RSS, and/or ICRA) 233,000 - 290,000 a yearBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments. As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system. In this role, You will...Lead the development of multimodal large language models that enhance our robotaxis' understanding of complex urban environmentsDesign effective model architectures and sophisticated training techniques, leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox.Drive end-to-end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilitiesCollaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision-making pipelineValidate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous systemQualificationsMS or PhD in Computer Science, Machine Learning, or related technical fieldDemonstrated experience training and deploying large language models (LLMs)Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluationProficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projectsExperience training with large scale datasets (e.g. tens of millions of videos)Bonus QualificationsPublications in top-tier conferences (CVPR, ICCV, RSS, ICRA)Experience with autonomous robotics systems 229,000 - 317,000 a yearAbout ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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The Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems. As a software engineer on the perception mapping team, you will be a key contributor to Zoox’s online mapping initiative. You will design, train, validate, and integrate into the stack ML models that detect semantic map elements in the world. Your work will touch on all aspects of ML development, including data gathering, labeling, training, validation, and onboard integration. Your work will enable important milestones to scaling and autonomy capabilities and will be critical to the success of Zoox.In this role, you will: Curate, validate, and label datasets for model training and validationResearch, implement, and train ML models to perform semantic map element detectionClosely collaborate with validation teams to formulate and execute model validation pipelinesIntegrate models into the greater onboard autonomy system within compute budgetsBe a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisionsQualifications:MS or PhD or equivalent experience (5+ years) in Computer Science or related fieldExperience in computer vision or roboticsExperience with training and deploying deep learning modelsExperience with with Python libraries (pytorch, numpy)Bonus Qualifications: Experience with C++Experience with CUDA and/or GPU programmingExperience with mapping related ML techniques 242,000 - 290,000 a yearBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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The Perception Object Detection and Tracking team at Zoox deals with perception of all people and objects that have a capability to move. Your role is to work with the ML model teams to bring cutting-edge models into the vehicle stack. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components.In this role, you will...Define on-vehicle architecture for producing the core tracking results from the Perception stack. Work with both the model teams and optimization teams to develop a highly performant and efficient system that can run on vehicle.Work with Perception data, both on the input and output of machine learned modelsTake tracking output and integrate this into the larger behavioral system in the Autonomy stackQualificationsBS or higher in Computer Science or a related degreeFluency in C++ and PythonExperience delivering ML model integration in latency-sensitive systemsHave experience implementing tracking systemsStrong mathematical skills and understanding of probabilistic techniquesBonus QualificationsFamiliarity with modern, Sparse-BEV Joint Detection and Tracking modelsExperience with CUDA codeContribute to the ongoing development of new architecture based on new, state of the art ML researchInvestigate, prototype and train / evaluate networks for solving causal / recursive multi-target multi-modal tracking problem 242,000 - 290,000 a yearAbout ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.