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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium.This JobWe’re looking for an ML Engineer to architect and build Krea’s personalization and recommendation systems from scratch. You’ll have full ownership over how we understand user taste, curate content, and adapt generative models to individual aesthetics.This is a role at the intersection of recommendation systems, representation learning, and generative image and video tools.What you’ll doArchitect and build Krea’s personalization and recommendation stack from the ground up, owning the technical direction end to end.Design algorithms to model user preference and taste, enabling Krea’s models to adapt to individual styles and aesthetics.Build high-quality, curated feeds that balance exploration, personalization, and aesthetic coherence.Work directly with the our model and research team to co-design personalization mechanisms that influence how our generative models learn, adapt, and express style.Contribute to personalized image generation research, with a focus on style, taste and subjective quality.Collaborate closely with product, design, and research to define what “good personalization” means in a creative contextTake systems from research and prototyping through production, iteration, and continuous improvementWhat we’re looking forStrong experience building recommendation systems or personalized feeds from scratchProven ability to design and ship high-quality curated content experiencesExperience working with media-based personalization (image, video preferred; music or other modalities also welcome)Solid foundations in machine learning, representation learning, and modern deep learning techniquesStrong Python skills and experience with ML frameworks such as PyTorch or JAX.Ability to operate independently, make architectural decisions, and own complex systems end to endBonus pointsExperience with large-scale data systems and production ML infrastructurePrior work on or familiarity with diffusion models or generative image systemsBackground in embeddings, similarity search, ranking, or aesthetic evaluationInterest in creative tools, art, design, or generative mediaWhat we offerOpenness to sponsoring international candidates (e.g., STEM OPT, OPT, H-1B, O-1, E-3).Work alongside a world-class team building the future of AI creative tooling.Significant scope and company-wide impact.Competitive compensation (75th percentile of market) with meaningful equity.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleConduct critical comparative analysis to advance our understanding of model capabilitiesBuild and refine evaluation systems and processes that create tight feedback loops between data, evals, and model behaviorDevelop generalizable evaluation frameworks that capture what matters for reasoning, alignment, and usefulness.Collaborate closely with pre-training, post-training, and applied teams to translate insights into model improvements.Push the boundaries of what’s measurable, from synthetic evals to human feedback and real-world interaction data. About YouStrong statistical analysis and experimental design skills to rigorously measure model improvementsFamiliarity with LLM evaluation methodologies:static benchmarks, human preference evals, and/or agentic tasks.High agency and thrive in a fast-paced startup environment; bias for impact over process.Excited to work in a new frontier lab, defining how we measure and accelerate progress toward more capable models.Collaborative, detail-oriented, and motivated by building the feedback loops that make models truly improve.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Who we are Helsing is a defense AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing program managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defense, its benefits, and its ethical implications.  The role At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localize, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalization capabilities and strong robustness against adversarial attacks.  The day-to-day You will develop ML/AI that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios. You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems.  You should apply if you Hold an MSc in artificial intelligence, machine learning, computer science or a related field with experience in conceptualizing, implementing, and thoroughly evaluating advanced AI-based systems.  Have experience with the complete machine learning pipeline, from collecting and annotating data, to evaluating model architectures, and iteratively training and tuning models to meet performance requirements.  Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally.  Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring.  Have developed or implemented AI applications in defense and broadly understand defense specific use cases.   Note: We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarized in a few bullet points. Nice to Have Designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources and led their end-to-end product delivery Experience with simulators, emulators, or synthetic data generators A US security clearance at the Secret or above level  Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practice responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.   #LI-DNI   Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Zeromark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives.We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats—because a $200 drone shouldn't require a million-dollar countermeasure.Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world—we're too busy actually doing it. Dark humor required, thick skin recommended.If you want to make an actual impact—and have some unforgettable Tuesday afternoons along the way—let's talk. We're all about delivering practical, field-tested tech, not just theories.What You’ll Do:Design, develop, test, and deploy robust and scalable software solutions for counter-drone systems.Collaborate with cross-functional teams, including hardware engineers, data scientists, and subject matter experts, to define system requirements and architecture.Implement algorithms for drone detection, tracking, identification, and mitigation.Optimize software for real-time performance and resource efficiency in embedded and distributed environments.Participate in code reviews, contribute to architectural discussions, and maintain high code quality standards.Troubleshoot and debug software issues, ensuring system reliability and performance.Stay up-to-date with emerging technologies and industry best practices in software development and counter-drone capabilities.What You’ll Need:Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.Proven experience in software development, preferably in a defense, aerospace, or security-related domain.Proficiency in one or more programming languages such as C++, Python, or Java.Strong understanding of data structures, algorithms, and object-oriented design principles.Experience with embedded systems, real-time operating systems (RTOS), or distributed systems is a plus.Familiarity with signal processing, computer vision, or machine learning concepts is highly desirable.Excellent problem-solving skills and a strong analytical mindset.Ability to work effectively in a fast-paced, collaborative team environment.U.S. citizenship is required due to government contract requirements.Preferred SkillsExperience with sensor integration (e.g., radar, optical, acoustic).Knowledge of communication protocols and networking.Familiarity with cybersecurity principles and secure coding practices.Experience with Agile development methodologies.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, and Singapore.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doDesign and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in London, embedding AI agents across their entire business stack to drive innovation and efficiency.Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.Example projectsThese are some examples of projects that engineers on our team have worked on recently:Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churnDevelop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendationsCreate generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog!Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent developmentExperiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customersWhat you'll bringExperience building and scaling end-to-end production systemsStrong technical problem-solving skills, especially in fast-changing, ambiguous environmentsA builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and shipComfort working directly with customers to understand their needs and solve real-world problemsExcellent communication skills - clear, direct, and persuasive across technical and non-technical audiencesEven better...Experience building or deploying AI/LLM systems in productionHave been a founder or founding engineer - you know what it means to balance craft, ownership, and speedFamiliarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineeringPrior experience with React, TypeScript, and/or GoPrevious roles where you interfaced with customers or led technical projects with external stakeholdersOur valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Tutor - Economics, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced economics domains, with a focus on macroeconomic forecasting, microeconomic incentives, and behavioral experiments. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in economics. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.  Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a PhD in Economics or related field Proficiency in reading and writing, both in informal and professional English. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in economics. Preferred Qualifications Possesses experience with at least one publication in a reputable economics journal or outlet. Teaching experience as a professor. Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About Sana Sana is an AI lab building superintelligence for work.We believe organizations can accomplish their missions faster when humans can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI.As part of Workday, we are committed to building AI that augments humans.If that’s a mission that excites you, you’re in the right place.About the roleYou’ll be the quality champion for Sana’s AI agent platform, ensuring our LLM-powered products are robust, reliable, and a delight to use. You’ll design and implement test strategies that keep pace with rapid iteration, automate critical workflows, and drive a culture of quality across engineering. This is a hands-on role for someone who thrives on constructing scalable ways of breaking things, uncovering edge cases unique to agentic and LLM-based systems, and building the safeguards that prevent issues from reaching production. You’ll help us deliver agent workflows that are safe, trustworthy, and enterprise-ready, for the AI landscape of today and tomorrow.In this role, you willDesign and implement test plans for agent infrastructure, LLM-based APIs, and end-to-end user journeysBuild and maintain automated test suites for backend, frontend, and integration layers, including prompt and response validation for generative modelsDevelop tools and frameworks to accelerate testing and catch regressions early, especially in agent reasoning, tool use, and context handlingCollaborate closely with engineers to embed quality into every stage of development, with a focus on the unique challenges of AI/LLM systems (e.g., non-determinism, hallucinations, safety)Lead root cause analysis and drive resolution for critical issues and incidents, including those arising from model updates or agent behaviorsAdvocate for best practices in code quality, observability, and CI/CD pipelines—ensuring quality signals are actionable and visibleWhat success looks likeCritical bugs, regressions, and model failures are caught before they reach users—even as we scale and ship rapidlyAutomated test coverage is high, reliable, and easy to maintain, including for LLM outputs and agent workflowsRelease cycles are fast and safe. Confidence in shipping is high, even with evolving models and agent capabilitiesQuality metrics (including model quality, agent reliability, and user experience) and dashboards provide clear, actionable signals to the teamYou are a go-to partner for engineers, raising the bar for quality and reliability in AI-driven systemsOur tech stackWe build on a simple modern stack optimized for both humans and AI:Backend: TypeScript, Node.jsFrontend: TypeScript, React, TailwindDatabases: Postgres, RedisCloud infra: GCP/Kubernetes/TerraformWhat We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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OverviewHandshake is recruiting Food Service Manager Professionals to contribute to an hourly, temporary AI research project—but there’s no AI experience needed. In this program, you’ll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise.DetailsThe position is remote and asynchronous; work independently from wherever you are.The hours are flexible, with no minimum commitment, but most average 5-20 hrsThe work includes developing prompts for AI models that reflect your field, and then evaluating responses.You’ll learn new skills and contribute to how AI is used in your fieldYour placement into a project will be dependent on project availability—if you apply now and can’t work on this project, more will be available soon.QualificationsYou have at least 4 years of professional experience in one or more of the following types of work.The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI modelsCount money and make bank deposits.Establish standards for personnel performance and customer service.Keep records required by government agencies regarding sanitation or food subsidies.Schedule staff hours and assign duties.Investigate and resolve complaints regarding food quality, service, or accommodations.Maintain food and equipment inventories and keep inventory records.Perform food preparation or service tasks as needed, such as cooking, clearing tables, and serving food and drinks.Monitor budgets and payroll records, and review financial transactions to ensure expenditures are authorized and budgeted.Schedule and receive food and beverage deliveries, verifying product quality and quantity.Coordinate assignments of cooking personnel to ensure economical food use and timely preparation.Organize and direct worker training programs, resolve personnel issues, hire staff, and evaluate employee performance.Assess staffing needs and recruit employees through advertisements, job fairs, or other methods.Estimate food, liquor, wine, and beverage consumption to anticipate purchasing needs.Monitor food preparation methods, portion sizes, garnishing, and presentation standards.Ensure compliance with health and fire regulations related to food service and facility maintenance.Test cooked food by tasting and smelling to ensure quality and flavor standards.Order and purchase equipment and supplies.Review work procedures and operational issues to improve service, performance, or safety.Arrange equipment maintenance and repairs, and coordinate services such as waste removal and pest control.Monitor employee and patron activities to ensure compliance with liquor regulations.Greet guests, escort them to seats, and present menus and wine lists.Record the number, type, and cost of items sold to identify unprofitable or unpopular items.Plan menus and food utilization based on guest volume, nutrition, popularity, and cost.Review menus and analyze recipes to determine labor and overhead costs and set menu prices.Take dining reservations.Create specialty dishes and develop recipes for dining facilities.Schedule use of facilities or catering services for events and negotiate arrangements with clients.Establish and enforce nutritional standards based on accepted industry guidelines.You’re able to participate in asynchronous work in partnership with leading AI labs.Application ProcessCreate a Handshake accountUpload your resume and verify your identityGet matched and onboarded into relevant projectsStart working and earningWork authorization informationF-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAbridge’s ability to deliver the most accurate, personalized, and clinically useful notes is the foundation of our product strategy. Note quality determines clinician trust and our right to expand into more workflows. This role will be responsible for the quality and level of personalization around all notes.The Note Generation group sits at the center of this mission. It owns the models that power documentation, the evaluation systems that measure quality at scale, and the specialty and workflow engines that ensure our output matches how clinicians practice across diverse settings.We are hiring a product leader to lead the product vision, strategy, and execution for Note Generation. You will manage a team of PMs and partner closely with engineering, ML, design, clinical leaders, and our specialty councils. You will set the bar for note quality, guide our model and evaluation roadmap, and ensure we deliver the table stakes and differentiated capabilities required to win the market.What You’ll DoLead AI product strategy for Note Generation. Define the long term strategy for Abridge’s core note models and evaluation stack.Oversee the evaluation platform and measurement systems. Build a world class note quality evaluation system across human annotation, LLM judges, automated backtesting, and in production analytics. Partner with ML and engineering to ensure reliable benchmarks, continuous validation, and fast iteration cycles.Drive depth across specialties and clinical contexts. Own the specialty roadmap and ensure we prioritize specialties that drive adoption, revenue opportunities, or deeper defensibility. Ensure that specialty notes reflect clinical expectations, use the right terminology and structure, and match professional norms across care settings. Partner with clinical leaders to define gold standards and systematic approaches to specialty expansion.Lead and develop a team of PMs. Manage a team of product managers spanning models, quality, eval, and specialty workflow.Foster a culture of excellence, speed, and accountability.Cross functional leadership. Work closely with Engineering and ML leadership to align on architecture, model iteration schedules, evaluation methodologies, and system reliability. Partner with Product Design to define user control surfaces that leverage model outputs while keeping clinicians in control. Collaborate with customer facing teams to understand quality expectations and close the loop between real world feedback and model development.What You’ll Bring7 to 10+ years of product management experience with significant ownership of ML powered products or platform systems.Experience managing PMs and leading high performance product teams.Deep understanding of how to measure and improve model quality, including evaluation frameworks, annotation pipelines, and benchmark design.Strong technical fluency across ML, data pipelines, and distributed systems.Experience working closely with ML researchers and engineers to drive impact in production.Ability to balance long term architectural investments with near term quality improvements.Strong communication skills and the ability to translate complex technical concepts into clear decisions and narratives.A track record of delivering high quality products in domains where accuracy, reliability, and trust are paramount.Bonus Points If…You have experience building evaluation platforms, ML observability systems, or quality measurement pipelines.You have worked in clinical, healthcare, or regulated environments with high bar for accuracy and compliance.You have overseen specialty specific or domain specific model adaptations.You have worked on personalization systems, context ingestion frameworks, or ambient intelligence products.You have experience shipping large scale ML products with human in the loop workflows.Location Office: Hybrid- SFWhy Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employeesComprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.Paid Parental Leave: Generous paid parental leave for all full-time employees.Family Forming Benefits: Resources and financial support to help you build your family.401(k) Matching: Contribution matching to help invest in your future.Personal Device Allowance: Tax free funds for personal device usage.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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Who we are Helsing is a defense AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing program managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defense, its benefits, and its ethical implications.  The role At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localize, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalization capabilities and strong robustness against adversarial attacks.  The day-to-day You will develop ML/AI that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios. You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems.  You should apply if you Hold an MSc in artificial intelligence, machine learning, computer science or a related field with experience in conceptualizing, implementing, and thoroughly evaluating advanced AI-based systems.  Have experience with the complete machine learning pipeline, from collecting and annotating data, to evaluating model architectures, and iteratively training and tuning models to meet performance requirements.  Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally.  Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring.  Have developed or implemented AI applications in defense and broadly understand defense specific use cases.   Note: We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarized in a few bullet points. Nice to Have Designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources and led their end-to-end product delivery Experience with simulators, emulators, or synthetic data generators A US security clearance at the Secret or above level  Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practice responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.   #LI-DNI   Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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As a Data Scientist, you will play a pivotal role in aligning our AI solutions with the unique needs of our manufacturing clients. Your primary responsibility will be to lead the development of state-of-the-art AI applications that tackle complex industry challenges, driving innovation and enhancing productivity.We are seeking an experienced data scientist capable of extracting valuable insights from manufacturing data. Your tasks will include mining, interpreting, and analyzing customer data to discover hidden opportunities and fully leverage its potential. Also, your role will involve direct interaction with customers to grasp their challenges and to understand their unique data characteristics. By closely engaging with customers, you will develop tailored data models and tools to meet their specific needs. Additionally, you will collaborate with our cross-functional teams to conceive, design, and develop innovative AI products for manufacturing by identifying new product features based on the understanding of customer data.Join a team of passionate innovators dedicated to revolutionizing the future of manufacturing. Take the lead in pioneering cutting-edge AI initiatives that directly impact real-world outcomes. Collaborate with a diverse and talented group of experts where your ideas will be highly valued, and your contributions will drive Gauss Labs towards becoming the global leader in industrial AI innovation.ResponsibilitiesDesign and implement customized AI solutions for manufacturingAnalyze manufacturing data to uncover opportunities and develop AI modelsCollaborate with customers to understand their requirements and deliver clear, data-driven solutionsWork closely with our internal teams to ensure solutions are feasible, scalable, and aligned with product strategyPresent findings to both technical and non-technical stakeholdersBasic QualificationsBS/MS in Engineering, Science, or a related field2+ years of experience leading AI or data science projects in the semiconductor industry or another manufacturing fieldStrong problem-solving skills and customer-focused mindsetProficiency in data science tools: Python and SQLAbility to work independently and as part of a teamTravel domestically to customer sites as needed (up to 20% of working hours)Fluency in KoreanPreferred QualificationsMS in Computer Science, Data Science, or related fieldExperience in predictive modeling and cloud platforms (e.g., AWS, Azure, Google Cloud)Excellent communication skills, with the ability to simplify complex technical conceptsFluency in English[Interview process]Application review - Phone interview - Virtual onsite interview - VP interview/Core Value interview - CEO interview

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, and Singapore.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll doAs a member of our Agent Strategist function at Sierra, you will be responsible for partnering with our Agent Product Managers and Agent Engineers to scope, build, and ship AI agents that handle thousands of customer conversations a day.You’ll play a central role in agent development, combining product strategy, conversational design, and customer insight to bring high-quality agents to life.Be a trusted advisor to our customers and drive their AI strategies.Build, design and refine conversational AI agents, gaining direct exposure to how these products are developed and improved.Drive execution and delivery of multiple complex, high-visibility agent development projects.Coordinate across technical and non-technical stakeholders through the full agent development lifecycle process.Ensure clear communication across all stakeholders while developing strong relationships.Contribute data-driven, strategic insights to customers and internal team decisions.What you'll bringOutstanding Communication Skills: Excellent verbal and written communication skills to convey complex technical information to non-technical stakeholders, fostering collaboration and driving projects forward with clarity.Technical Expertise: Strong understanding of software development, product management and engineering principles, enabling you to act as a strategic partner to customers and internal teams as we turn visionary ideas into agents.Problem-Solving and Analytical Skills: Strong analytical and critical thinking skills to grasp complex concepts, and to identify risks and issues, develop mitigation strategies, and handle unexpected challenges across customer relationships and products.Leadership and Team Management: Proven ability to manage multiple projects simultaneously, leading and inspiring teams to deliver innovative ideas and exceptional agents.Foundational Expertise:Degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience that demonstrates comparable expertise is a strong plus.MBA or comparable experience at the intersection of technology and operations is another strong plus.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What you’ll be doing Build & Deploy Agents: Own the full AI agent build process - prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement: Lead weekly demos, show progress, gather feedback, and act as the primary technical point of contact once a solution is defined. Systems Integration: Configure APIs, data maps, authentication, error handling, and connect to CRMs, databases, or knowledge systems. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Optimization: Monitor performance, refine prompts, test iteratively, and ensure agents meet automation and containment targets. Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Shadow Core Engineering: Collaborate with product/engineering teams for deep technical fixes and platformization, while independently leading client delivery. What you'll bring to the role 3+ years in conversational AI, ML engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong skills in prompt engineering, workflow building, API integration, and telephony (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). ML expertise in embeddings, retrieval-augmented generation (RAG), evaluation frameworks, fine-tuning models, and performance optimization. Solid programming skills (Python, JavaScript, or similar). Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos. Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems. Bachelor’s degree in Computer Science, Engineering, or a related technical field Hands-on experience with Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficient in API integrations and data flow management. Strong experience in telephony integrations, including knowledge of protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $108 - 170K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  #LI- Redwood City, CA (Hybrid)

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAssistant sits at the core of Harvey’s product suite. It is the entry point into the Harvey ecosystem and drives a large part of our usage and engagement. Assistant is evolving into an agentic platform for our other products and integrations to be built on top of. It is central to Harvey’s strategy of providing a comprehensive suite of products for all types and practice areas of legal work. The team’s work spans across product engineering, core platform components, and AI development & experimentation.In this role, you’ll work closely with cross-functional partners to help shape the vision and strategy for the Assistant roadmap, including product, platform, and AI components. You’ll lead a team existing managers and senior ICs to ensure strong & sustainable execution across all teams, while continuing to build out a strong team. You will also help drive the technical vision and direction to make Assistant a platform that’s easy to build and integrate with for all of Harvey.This is a high-impact leadership role for someone excited to scale a flagship product, build infrastructure and systems to support fast product development and experimentation, and build out and grow a world-class applied AI team.What You'll DoDefine the technological and product vision, strategy, and overall plan for the Assistant team, covering product engineering, core platform, and AI components.Ensure robust and consistent execution across the Assistant teams, partnering closely with current managers and senior individual contributors.Work with cross-functional teams (Product, Design, Research, etc.) to establish and achieve the Assistant's objectives.Guide the technical evolution of the Assistant into a scalable, agentic platform that is easily integrated with and built upon by other Harvey products.Recruit, guide, and develop a top-tier applied AI and product engineering staff.Guarantee the team develops infrastructure and systems that support swift product creation, iteration, and AI experimentation.What You HaveExperience working with Generative AI (GenAI) technologies to develop, iterate on, and scale innovative features or products.Demonstrated experience in shipping best-in-class products, whether in the consumer or enterprise space, with a track record of driving significant user value and business impact.Proven success in leading world-class engineering teams within dynamic, high-growth environments such as startups or scale-ups, fostering a culture of technical excellence and rapid iteration.Experience managing managers and Staff+ ICs, including proficiency in coaching, developing, and building high-performing organizational structures.Extensive experience collaborating closely with senior cross-functional (XFN) stakeholders, including but not limited to Product and Design Area Leads, Head of Research, and Operations leadership, to define strategy and deliver on complex company objectives.Compensation Range320,000-360,000 USDPlease find our CA applicant privacy notice here.#LI-ML1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Tutor - Economics, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced economics domains, with a focus on macroeconomic forecasting, microeconomic incentives, and behavioral experiments. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in economics. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.  Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a PhD in Economics or related field Proficiency in reading and writing, both in informal and professional English. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in economics. Preferred Qualifications Possesses experience with at least one publication in a reputable economics journal or outlet. Teaching experience as a professor. Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.While San Francisco and Boston are preferred, we are open to other remote locations.This Role Is For You If:You have experience with machine learning at scaleYou have worked with audio models and understand the effects of architecture choices on runtime, latency, and qualityYou’re proficient in PyTorch, and familiar with distributed training frameworks like DeepSpeed, FSDP, or Megatron-LMYou’ve worked with multimodal data (e.g. audio, text, image, video)You’ve contributed to research papers, open-source projects, or production-grade multimodal model systemsYou understand how data quality, augmentations, and preprocessing pipelines can significantly impact model performance—and you’ve built tooling to support thatYou enjoy working in interdisciplinary teams across research, systems, and infrastructure, and can translate ideas into high-impact implementationsDesired Experience:You’ve designed and trained multimodal language models, or specialized audio models (e.g. ASR, TTS, voice conversion, vocoders, diarization)You care deeply about empirical performance, and know how to design, run, and debug large-scale training experiments on distributed GPU clustersYou’ve developed audio encoders or decoders, or integrated them into language pretraining pipelines with autoregressive or generative objectivesYou have experience working with large-scale audio datasets, understand the unique challenges they pose, and can manage massive datasets effectivelyYou have strong programming skills in Python, with an emphasis on writing clean, maintainable, and scalable codeWhat You'll Actually Do:Invent and prototype new model architectures that optimize inference speed, including on edge devicesBuild and maintain evaluation suites for multimodal performance across a range of public and internal tasksCollaborate with the data and infrastructure teams to build scalable pipelines for ingesting and preprocessing large audio datasetsWork with the infrastructure team to optimize model training across large-scale GPU clustersContribute to publications, internal research documents, and thought leadership within the team and the broader ML communityCollaborate with the applied research and business teams on client-specific use casesWhat You'll Gain:A front-row seat in building some of the most capable Speech Language ModelsAccess to world-class infrastructure, a fast-moving research team, and deep collaboration across ML, systems, and productThe opportunity to shape multimodal foundation model research with both scientific rigor and real-world impactAbout Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. As an AI Solution Architect at Dataiku, you will have the opportunity to participate in our customers' journeys, from supporting their discovery of the platform to coaching users and co-developing data science applications from design to deployment. You will work mostly for our customers in the financial services and insurance industries. You will get hands-on experience coding in multiple languages (mostly Python, occasionally R, SQL, Pyspark, JavaScript, etc.) and applying the latest big data technologies to business use cases. Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.  Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make our customers successful. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth. Experience (What We’re Looking For) French and English - fluent Curiosity and a desire to learn new technical skills. Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public. Ability to clearly explain complex topics to technical as well as non-technical audiences. Over 5 years of experience with coding (Python, R, SQL). Over 5 years of experience building ML models.   Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL.  Bonus points for any of these Experience with Consulting and/or Customer-facing Data Science roles. Experience in the bank & insurance, or manufacturing industries. Experience with Spark, SAS, Data Engineering or MLOps. Experience developing web apps in JavaScript, RShiny, or Dash. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. #LI-Hybrid  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Training Infrastructure Engineer, to take our infrastructure to the next level. This role is focused on managing the training cluster, implementing distributed training algorithms, data loaders, and developer tools for AI researchers. The ideal candidate has experience building tools and infrastructure for a large-scale deep learning system. Responsibilities Design, deploy, and maintain Figure's training clusters Architect and maintain scalable deep learning frameworks for training on massive robot datasets Work together with AI researchers to implement training of new model architectures at a large scale Implement distributed training and parallelization strategies to reduce model development cycles Implement tooling for data processing, model experimentation, and continuous integration Requirements Strong software engineering fundamentals Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field Experience with Python and PyTorch Experience managing HPC clusters for deep neural network training Minimum of 4 years of professional, full-time experience building reliable backend systems Bonus Qualifications Experience managing cloud infrastructure (AWS, Azure, GCP) Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.) Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.) The US base salary range for this full-time position is between $150,000 - $350,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Tutor - Economics, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced economics domains, with a focus on macroeconomic forecasting, microeconomic incentives, and behavioral experiments. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in economics. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.  Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a PhD in Economics or related field Proficiency in reading and writing, both in informal and professional English. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in economics. Preferred Qualifications Possesses experience with at least one publication in a reputable economics journal or outlet. Teaching experience as a professor. Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewHarvey’s Custom Solutions team are skilled lawyers who apply their legal experience to help customers scope and build custom prompts, playbooks, and workflows tailored to meet the specific needs of an organization.What You'll DoWork with customers to design and build customized prompts, playbooks, and workflows that are tailored to their practice and organization.Work with customer teams to ensure effective implementation and adoption of these custom solutions.Collaborate with Harvey’s research and customer success teams to ensure these initiatives produce measurable improvements in quality and productivity.What You HaveJD or equivalent legal qualification.At least 3 years of experience practicing law at a top-tier law firm and/or in-house experienceStrong communication skills grounded in customer engagement and use case development.Strong understanding of legal processes and challenges faced by legal professionals.Curiosity about AI’s potential to transform the legal industry.Experience in practice innovation is a plusExperience building customized AI solutions is a plus.Compensation$170,000–$240,000 USD OTE (80/20 split)#LI-EP1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai