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About Nomic Nomic builds domain-specific AI agents for the built world — helping Architecture, Engineering, and Construction (AEC) teams across tasks like drawing reviews, takeoffs, code compliance, RFIs, submittals, specs, QA/QC, coordination, and project documentation. Our goal is to build AI systems that reflect how AEC work is actually done in practice—grounded in real workflows, real constraints, and real project complexity. About the Role We’re launching a Domain Experts in Residence (DEIR) program to embed experienced AEC practitioners directly into how our AI agents and workflows are designed, evaluated, and shipped. This is not a traditional advisory role. As a Domain Expert in Residence, you’ll be hands-on in defining real-world AEC tasks, building datasets, and shaping evaluation criteria that determine how our agents perform across the project lifecycle. This role is ideal for practitioners who want to shape the future of tools used by their profession. What You’ll Do Define real-world AEC task specifications for AI agents (e.g., drawing reviews, code compliance, RFIs, submittals, spec review, QA/QC, coordination)Create and label gold-standard datasets from real project artifacts (drawings, specs, RFIs, submittals)Design evaluation rubrics for agent outputs (severity, discipline, correctness, usefulness)Co-design default workflows that ship to customersPressure-test agents against real-world project scenarios and common failure modesPartner closely with product, ML, and engineering teams to translate domain practice into scalable AI systems Who You Are 6+ years of professional experience in one or more of:ArchitectureStructural EngineeringMEP EngineeringConstruction / Project ManagementQA/QC or Code ComplianceDeep familiarity with real AEC workflows and project deliverablesComfortable articulating how work is actually done in practiceCurious about AI tools and automation (no ML background required)Motivated to shape the future of AEC tooling Nice to HaveExperience with QA/QC processes or design reviewsFamiliarity with building codes (IBC, ADA, NFPA, local codes)Experience writing standards, checklists, or internal review frameworksInterest in product development Why This Role Is DifferentYou’ll help define how AI supports real AEC workflowsYour expertise will directly shape products used by real firmsYou’ll work closely with product and ML teamsYou’ll influence the next generation of tools for your profession CompensationCompetitive compensation based on experienceEquity for full-time rolesFlexible part-time options for specialists

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At Momentic, we’re building the future of quality.We’re building the the all-in-one quality platform powered by state of the art agents to help our customers ensure quality at every stage of the SDLC. Top engineering teams at companies like Notion, Bilt, Quora, and Xero use Momentic to ship high quality product. Millions of Momentic tests are executed every single day.Our product has a very large problem space so there’s a ton of stuff to build and take ownership of - we’d be excited to get your help as we're hiring several extremely talented software engineers across the stack.The productWe’re building the AI-native automated testing platformOur product is incredibly sticky. Our customers run us on every pull request and merge and before each deploy as quality gatesOur product is leagues ahead of competitors and the status quo today (think Selenium/Cypress/Playwright)Check out the demo video on our websiteAbout usWe’re a lean team of 12 (ex Robinhood, Retool, WeWork, Qualtrics, Assembled)Located in-person San Francisco (650 5th St.)Recent Series A raise of $15M led by Standard Capital, with participation from existing investors - Y Combinator, FCVC, and Transpose Platform.You’re perfect for this role if…You enjoy solving hard problems that have both product and technical ambiguityYou have strong engineering fundamentals, code efficiently, and you know what you're great at and what you're less great atYou dislike meetings and would much rather focus your time on building, being productive, and shipping codeYou thrive when you have autonomy, own as many of the details as possible, and project manage your own workYou're in SF or you're willing to relocate, you love working in-person, and you're serious about joining us to build a culture we'll all love Must-have qualificationsExperience with LLM performance tuning, including prompt engineering and context management strategiesExperience with LLM evaluations and observabilityExperience integrating LLMs into real-world applications using a modern tech stack (Python, TypeScript, etc.)3+ years of experienceNice to haveExperience with supervised or reinforced fine-tuningExperience with classical machine learning techniques such as template matching, bounding box detection, and OCRExperience running statistical experimentsSponsorshipWe can't sponsor new H1B or Green Cards (through I-140) at this time.We can transfer existing H1Bs or TN Visas.Our stackReactTypeScriptNext.jsNode.jsPostgreSQLGoogle CloudKubernetesBenefitsUnlimited supply of sparkling waterMedical, Vision, Dental insurance401KUnlimited PTOFun team offsites and events - we went to French Laundry this year!

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Multiverse is the upskilling platform for AI and Tech adoption.We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce.Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK’s first EdTech unicorn.But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era.The OpportunityMultiverse’s mission is to equip the workforce to win in the AI era. As a Staff AI Solutions Engineer and technical lead of our AI Transformation Engineering squad, you will play a pivotal role in transforming our business to deliver on that mission. You will lead the development of our internal agentic ecosystem, moving beyond the theoretical to deliver productionised systems. We are looking for a seasoned full stack engineer who thrives on making AI work in the real world and excels at operating at the intersection of system architecture and advanced AI implementation. If you are passionate about shaping the future of work and education, join us at Multiverse.Key Responsibilities:Build and maintain autonomous agent-based solutions that generate real impact on our internal teams, enabling them to better serve our customersDesign, architect & deliver AI solutions: Partner with technical and business teams to develop new AI solutionsOwn the end-to-end lifecycle: Take responsibility for the journey from design through experimentation, deployment, user adoption, impact measurement, and continuous iteration.Mentor and scale expertise: Coach engineers within the squad, setting direction for best practices and acting as a technical sounding boardCollaborate cross-functionally: Ensure what you build meets the needs of users, generates company-wide impact, and is aligned with other Engineering squadsAbout youProven Staff-Level experience: 6-7 years in software engineering, with a strong understanding of Applied AI fundamentals and experience working in cross-functional product teamsExpertise in:System architecture: Proven ability to design and maintain complex RAG architectures, ensuring low latency and high relevance in data retrievalAI orchestration: Demonstrable experience of building embeddings, MCPs and agentic workflowsSecurity by design: Skilled in developing secure, scalable enterprise AI solutionsRequired engineering skills: Proficient in Python and TypeScript, AWS Cloud, with experience building APIs, microservices, and cloud-native applications.Growth mindset: You’re curious, open to feedback, and excited to share what you learn while contributing to an inclusive, high-performing culture.BenefitsTime off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per yearHealth & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health supportHybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a monthWork-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per yearSpace to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked! Our Commitment to Diversity, Equity and InclusionWe’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here.Our Commitment to SafeguardingMultiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings.Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.

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Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone. When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.  As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif. Hardware Engineer I positions offered by Latitude AI, LLC (Palo Alto, CA).  What you’ll do:  Develop tools for validation and regression testing of image sensors, image processing pipelines, and hardware and software integration Perform lab and real-world camera data collection and data analysis Participate in tuning of sensor parameters and image processing pipelines to optimize image quality Troubleshoot camera and image quality issues observed on autonomous vehicles Design new hardware and the necessary software for sensor range Work with perception software team to assess end to end camera performance What you'll need to succeed: Requires a bachelor’s or foreign equivalent degree in Computer Engineering, Electrical Engineering, Mechanical Engineering, Physics, or a related field  Education, training, or experience must include: o Programming in Python; o Working with camera hardware and camera pipelines;  o Using Python to manipulate and analyze image data;  o Working with and debugging embedded hardware and software;  o Working with image quality metrics and evaluation methods;  o Working with Linux operating system; and  o Defining, documenting, executing, and analyzing complex tests.   Position reports to Palo Alto, CA office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office. Experience may be, but need not be, acquired concurrently. What we offer you: Competitive compensation packages High-quality individual and family medical, dental, and vision insurance Health savings account with available employer match Employer-matched 401(k) retirement plan with immediate vesting Employer-paid group term life insurance and the option to elect voluntary life insurance Paid parental leave Paid medical leave Unlimited vacation 15 paid holidays Daily lunches, snacks, and beverages available in all office locations Pre-tax spending accounts for healthcare and dependent care expenses Pre-tax commuter benefits Monthly wellness stipend Adoption/Surrogacy support program Backup child and elder care program Professional development reimbursement Employee assistance program Discounted programs that include legal services, identity theft protection, pet insurance, and more Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives Learn more about Latitude’s team, mission and career opportunities at lat.ai! The expected base salary range for this full-time position in California is $163,611 - $199,920 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements. Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. #LI-DNI

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About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences. You will lead the product development lifecycle for AI-driven features, working closely with engineers, designers, and data scientists to develop, launch, and scale AI-driven solutions. Your role is pivotal in ensuring that AI technologies align with user needs and business objectives.Please note that this post serves the purpose of enhancing our talent pool while we prepare to launch the official job. As soon as it gets posted we will get in touch with you.ResponsibilitiesDefine and drive the AI product roadmap, ensuring alignment with business objectives and user needs.Collaborate with cross-functional teams, including engineering, design, and marketing, to develop and launch AI-powered features.Conduct market research and analyze user feedback to identify opportunities for AI integration.Work closely with data scientists and machine learning engineers to optimize AI models for accuracy, performance, and user impact.Define key performance indicators (KPIs) to measure success and iterate based on data-driven insights.Stay up to date with AI trends, emerging technologies, and best practices to ensure our products remain competitive.Ensure ethical AI usage and compliance with data privacy regulations.RequirementsAround 4+ years of experience in product management, preferably in AI, machine learning, or data-driven applications.Strong understanding of AI/ML concepts, including NLP, computer vision, and recommendation systems.Experience working with data science and engineering teams to develop AI-based features.Ability to translate complex AI concepts into user-friendly applications.Strong analytical skills and experience leveraging data to drive product decisions.What benefits are we offering?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

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About Air AppsAt Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.Join us on this journey to redefine resource management—and change lives along the way.The RoleAs an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry.Please note that this post serves the purpose of enhancing our talent pool while we prepare to launch the official job. As soon as it gets posted we will get in touch with you.ResponsibilitiesDevelop, train, and optimize machine learning models for various mobile app features.Research and implement state-of-the-art AI techniques to improve user engagement and app performance.Collaborate with cross-functional teams to integrate AI-driven solutions into our applications.Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.Analyze large datasets to derive insights and drive data-driven decision-making.Stay updated with the latest AI trends and best practices, incorporating them into our development processes.Optimize AI models for mobile environments to ensure high performance and low latency.RequirementsAround 4+ years of experience in AI/ML development, preferably in mobile applications.Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.Experience with deep learning, NLP, computer vision, and statistical modeling.Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure).Strong understanding of data structures, algorithms, and software engineering best practices.Experience in deploying and maintaining ML models in production.Ability to work collaboratively in a remote team environment.Strong problem-solving skills and a passion for innovation.What benefits do we offer?Apple hardware ecosystem for work.Annual BonusTop-tier Health and Life Insurance for peace of mind.Transportation Budget to support your commute needs.Coverflex benefits package for meal allowances, well-being, and more.Childcare support.Air Conference - an opportunity to meet the team, collaborate, and grow together.Pension Fund to support your long-term financial planning.Urban Sports Club membership to keep you active.Meals 100% free at the hub.Diversity & InclusionAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.Application DisclaimerAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

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About the TeamOpenAI is at the forefront of artificial intelligence, driving innovation and shaping the future with cutting-edge research. Our mission is to ensure that AI's benefits reach everyone. We are looking for visionary Research Engineers to join our Applied Voice Team, where you'll conduct groundbreaking research on speech models and transform it into real-world applications that can change industries, enhance human creativity, and solve complex problems.About the RoleAs a Research Engineer in OpenAI's Applied Voice Team, you will have the opportunity to work with some of the brightest minds in AI. You'll design and build state-of-the-art speech models (speech-to-speech, transcribing, text to speech, etc.) and help turn research breakthroughs into tangible solutions in B2B applications, API and ChatGPT AVM. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark.In this role, you will:Innovate and Build: Design and build advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.Collaborate with the Best: Work closely with software engineers, product managers and forward deployed engineers to understand complex business challenges, address customer concerns and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.You might thrive in this role if you:Master's/ PhD degree in Computer Science, Machine Learning, or a related field.2+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies.Demonstrated experience in deep learning and transformers modelsProficiency in frameworks like PyTorch or TensorflowStrong foundation in data structures, algorithms, and software engineering principles.Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimizationExperience with speech models is a plus.Excellent problem-solving and analytical skills, with a proactive approach to challenges.Ability to work collaboratively with cross-functional teams.Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlinesEnjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About TensorWaveOur mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.About the RoleAs a Software Engineering Intern at TensorWave, you'll join a small, high-impact engineering team building the systems that power the future of AI compute. You'll work on real production challenges in a cutting-edge GPU cloud environment, gaining hands-on experience with bare-metal infrastructure, large-scale distributed systems, and AMD's ROCm ecosystem.This is an excellent opportunity for students passionate about cloud infrastructure, AI/ML systems, performance optimization, and contributing to tools that AI innovators use every day.What You’ll DoCollaborate with senior engineers on features for our cloud control plane, orchestration layer, user-facing APIs, or internal toolingWork on automation, monitoring, and observability for GPU clusters (Slurm + Kubernetes-native environments)Participate in debugging performance bottlenecks in high-throughput inference or distributed training pipelinesWrite clean, well-tested code and participate in code reviewsLearn how bare-metal AI clouds operate at scale—from hardware partitioning to high-speed networking and storageWho You AreRequired QualificationsCurrently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field (graduation expected 2026–2028)Strong programming skills in JavaScript or Rust.Familiarity with Linux systems, command-line tools, and scriptingInterest in cloud infrastructure, distributed systems, containers (Docker/Kubernetes), or HPC workload managers (Slurm)Bonus: Exposure to GPU programming, machine learning frameworks, ROCm, CUDA (concepts transfer), or cloud platformsCuriosity about hardware-software co-design and performance optimizationAbility to work collaboratively in a fast-paced startup environmentExcellent problem-solving skills and attention to detailWhat We OfferPaid internship experienceFounder and leadership speaker sessionsDedicated mentorship and cross-functional networkingIndustry and market education sessionsCareer development workshops (resume review, mock interviews, interview prep)Team-building events and intern socialsLunch & Learns with company leadersIn-office perks including snacks and beveragesEqual Employment OpportunityTensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.Reasonable AccommodationsTensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.Employment EligibilityAll offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.Background ChecksWhere permitted by law, employment may be contingent upon the successful completion of a job-related background check.Data Privacy NoticeBy submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.

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Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About the Role As a Senior Staff Cloud Support Engineer, you are a technical authority within Crusoe Cloud and a force multiplier across Customer Experience, SRE, Networking, Fleet, and Product teams. You operate beyond ticket resolution. You design reliability guardrails, influence architecture decisions, mentor senior engineers, and directly protect revenue by preventing large-scale incidents. You bring deep expertise in Linux systems, Kubernetes, networking, and AI/ML infrastructure, and apply that knowledge with strong customer focus. You are comfortable operating in ambiguity, leading incident response, and shaping how Crusoe scales high-performance AI infrastructure globally. What You’ll Be Working On Technical Leadership & EscalationsServe as highest-level escalation point for complex P1/P0 incidents.Lead cross-functional root cause investigations involving compute, networking (IB/RDMA/RoCE), storage, and orchestration layers.Partner with SRE, Software teams (Storage, Networking, Compute, K8) to design systemic fixes rather than recurring workarounds.Reliability ArchitectureDesign and improve node validation, burn-in processes, performance baselining, and release readiness.Influence Kubernetes architecture, workload orchestration (Slurm, Terraform), and AI/ML cluster stability.Reduce MTTR and incident recurrence through structural improvements.AI/ML Infrastructure ExpertiseTroubleshoot NCCL, IB, GPU driver/firmware issues, distributed training failures.Support complex AI workloads (training + inference) with performance tuning and observability improvements.Customer-Facing AuthorityAct as senior technical advisor during high-risk customer incidents.Deliver executive-ready RCAs with clarity and confidence.Drive trust through transparency and technical depth.Mentorship & StandardsMentor P3/P4 engineers.Define SOPs and technical standards for support excellence.Partner with Enablement to raise the technical bar across the organization. What You Bring8+ years experience in SRE, DevOps, HPC, or Cloud Infrastructure roles.Advanced Linux systems expertise.Deep Kubernetes operational experience (CKA-level or higher).Strong networking knowledge: Infiniband, RDMA, RoCE, SDN.Experience supporting AI/ML workloads at scale (GPU clusters).Proven track record of resolving multi-layer, distributed system failures.Strong customer communication and executive-facing presence.BenefitsIndustry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $300/monthCompensation RangeCompensation will be paid in the range of up to $180,000 -$220,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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About ClarionAt Clarion, we’re rebuilding how healthcare communicates in the age of AI.Today, clinics miss 30–40% of patient calls, while staff are overwhelmed by administrative work. We believe AI agents should handle these workflows—scheduling, billing, prescription refills, and follow-ups—so healthcare teams can focus on actual patient care.We’re building the communication infrastructure modern healthcare needs. Our AI agents don’t just answer calls—they complete workflows end-to-end, ensuring patients never go unheard. To date, we’ve handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company.Clarion was founded by a Stanford/Harvard-trained physician (founding team at Two Chairs and Ophelia) and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. We’ve raised $5.4M from Accel, Y Combinator, Sequoia (Scout), and leading healthcare founders. We’re an in-person team in New York, moving fast to solve one of healthcare’s most critical problems.Why This Role Is SpecialReal traction, early-stage impact: Dozens of paying customers, rapidly growing revenue, and the opportunity to own foundational backend systems at a critical inflection point.Mission-critical problem: Healthcare communication failures affect millions daily—your work directly powers systems patients and providers rely on.Elite technical context: Work closely with founders who deeply understand both healthcare operations and large-scale AI systems, enabling fast decisions and real ownership.What You’ll OwnCore backend systems: Design, build, and own the services, data models, and business logic powering Clarion’s AI agents and healthcare workflows.Workflow orchestration: Build infrastructure for multi-step, asynchronous workflows—including agentic AI workflows with conditional logic, retries, and graceful failure handling.Healthcare integrations: Own high-stakes integrations with EHRs and legacy healthcare platforms via APIs and RPA.Platform foundations: Create internal abstractions and tooling that allow the team to deploy and customize AI assistants for new customers quickly and reliably.Security and compliance: Implement and maintain backend authentication, authorization, and HIPAA-compliant architecture required for enterprise healthcare.Interesting Technical ChallengesGenerative AI at Scale: Design and operate production systems using LLMs with real-time monitoring, safety controls, and enterprise reliability.Agentic workflows: Architect backend systems that coordinate AI agents across complex healthcare workflows with strong guarantees.Enterprise reliability: Build systems supporting thousands of concurrent patient interactions with high uptime and fast incident detection.Fragmented healthcare systems: Design resilient abstractions across modern APIs and legacy EHRs while maintaining security and compliance.What We’re Looking For5+ years of experience designing, building, and scaling backend systems in high-reliability production environments.Strong backend expertise across APIs, relational databases, async workflows, and distributed systems.High ownership and agency—you thrive in ambiguity and take responsibility for system outcomes.Ability to communicate clearly, collaborate cross-functionally, and surface risks early.Bonus: experience with security, auth, or regulated environments (HIPAA familiarity is a plus).You’ll be a great fit if you enjoy owning critical backend systems end-to-end, solving complex problems under real-world constraints, and building infrastructure that directly impacts patient care.Interview ProcessWe move quickly and communicate clearly at every stage:Intro Chat (30 min, Virtual): Background, role context, and mutual fit.Technical Deep Dive (1 hr, Virtual): Backend systems and architecture with the CTO and a senior engineer.Onsite Team Day (Half Day, NYC): Collaborate on real problems, present a past project, meet the team, and assess mutual fit.Decisions are typically made within 24 hours of each stage.

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The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Cohere Labs is the dedicated research arm of Cohere. Our mission is to push machine learning forward through open, collaborative research and hands-on experimentation. We work on frontier problems in NLP and AI while creating space for researchers and engineers from different backgrounds to contribute, learn, and grow.We care about building things that are both thoughtful and useful, from new methods and datasets to tools that make research more accessible. Our team values curiosity, ownership, and practical impact over hype.Why join Cohere Labs?Cohere Labs brings together researchers and engineers to explore ambitious ideas and turn them into real systems. We focus on advancing machine learning while expanding access to applied research training and global collaboration.We pursue this mission in two ways:Creating open, collaborative research spaces where engineers and researchers work side-by-side on ambitious ML problems.Expanding access to applied research training, helping early-career engineers grow into strong research contributors.About the roleWe’re looking for Research Engineers who enjoy getting their hands dirty: building experiments, debugging models, scaling training pipelines, and turning research ideas into working systems. This is a highly practical role. You’ll work closely with scientists and other engineers to implement new methods, run large-scale experiments, and help shape the infrastructure that supports our research programs.You don’t need to have everything figured out yet. We care more about curiosity, strong fundamentals, and a willingness to learn quickly in a fast-moving research environment. You may be a fit if you:Have a strong engineering background in machine learning, NLP, or related areas (through a Master’s degree, industry experience, or equivalent hands-on work).Enjoy writing clean, reliable code and building systems that others can use and extend.Are comfortable experimenting, running ablations, analyzing results, and iterating quickly.Have experience with deep learning frameworks and model optimization techniques (PyTorch, distributed training, RLHF, finetuning, evaluation frameworks)Like collaborating closely with researchers and translating ideas into practical implementations.Are excited to grow your research instincts while staying grounded in engineering excellence.At Cohere Labs, research engineers are not just support roles. They are core contributors who help define how ideas become reality. If you want to work on meaningful problems, learn fast, and help build tools that shape the future of AI, we’d love to hear from you.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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About the Role: We are looking for an GTM Engineer where you won’t just be using our tools—you’ll be the "First Customer," building the AI-native systems that power our technical support, onboarding, and customer success engines.You will own the technical roadmap for how LangChain supports its users. Your goal is to drive massive case deflection and a premium onboarding experience by building autonomous agents that solve complex technical problems before a human ever needs to step in. This is a role for a builder-operator who can identify a friction point in the customer journey and ship a production-grade agentic solution to fix it.You Will:Architect Customer Agents: Design and deploy production-grade agents (using LangGraph and LangSmith) that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows.Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience.Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build.Dogfood the Stack: Be a key member of the feedback loop for our product team. As you build complex systems for our customers, you’ll identify gaps in our frameworks and contribute back to the LangChain and LangGraph open-source ecosystem.Build Onboarding Workflows: Develop "AI-native onboarding" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation.What we are looking for:AI-Native Developer: You have a deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops. You have likely already built with LangChain or LangGraph.Engineering Foundation: You are a strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production.Self-Directed "Founder" Mentality: You don't need a ticket to tell you what to fix. You are comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously.Full-Stack Capability: Strong coding skills in Python or TypeScript (ideally both) and the ability to build end-to-end applications.Customer-Centric: You enjoy the intersection of high-level engineering and direct customer impact. You can translate a customer's technical pain point into a scalable system architecture.Nice to Haves:Expertise with LangSmith for evaluation and monitoring.Experience building or maintaining open-source projects.A background in technical consulting, solutions engineering, or high-growth GTM teams.Compensation:We offer competitive compensation that includes base salary, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.Salary: $160K - $180K

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[MS/PhD Intern] AI Engineer (3개월/정규직 전환형)카메라 기반 End-to-End 자율주행과 Physical AI를 경험할 수 있는 기회! 42dot은 자율주행 기술 'Atria AI'를 개발하고 있으며, 2027년 말 레벨2+ 자율주행 기술이 양산 차량에 적용될 예정입니다. 끈질긴 집요함과 빠른 실행력으로 세상을 바꿀 인재를 기다립니다.Autonomous Driving Engineering42dot은 카메라 기반의 End-to-End 방식의 자율주행 소프트웨어와 저전력·고성능 임베디드 시스템을 개발하고 있으며, 최신 MLOps 시스템으로 자동화된 데이터 파이프라인을 구축했습니다. 또한 agile한 개발 프로세스를 통해 AI 모델 학습부터 실도로 검증 실험을 빠른 템포로 진행합니다.Role Overview 본 포지션은 Autonomous Driving Group의 정규직 전환형 Intern (MS/PhD) 으로, 연구 결과를 실제 양산 자율주행 시스템으로 연결하는 실전형 연구·개발 인턴십입니다.인턴십 기간 동안 단순 보조 업무가 아닌, 실제 양산을 목표로 하는 자율주행 시스템과 실차 데이터, 프로덕션 레벨의 코드 및 MLOps 환경을 기반으로 정규직 엔지니어와 동일한 수준의 문제를 End-to-End로 함께 해결합니다.What You'll Do 자율주행 시스템 핵심 기술에 대한 설계, 구현, 검증까지 End-to-End 수행실차 데이터 기반 알고리즘/모델 설계 및 검증시뮬레이션 및 실도로 실험을 통한 성능 분석 및 개선연구 결과를 실제 시스템에 적용 가능한 형태로 구현AD Group 내 실제 프로덕션 팀과의 긴밀한 협업을 통한 문제 해결Available Tracks최종 소속과 업무는 인턴십 및 인터뷰 과정에서 확인된 개인의 전문성, 연구 관심사 및 성장 방향과 조직별 니즈를 종합적으로 고려하여 결정될 예정입니다.[Physical AI]자율주행을 위한 인지(Perception) 및 행동 예측 ML 모델 구현 및 실험주행 데이터 전처리 및 학습 데이터셋 구성·분석모델 성능 평가 및 실험 결과 분석Failure Case 정리 및 성능 개선을 위한 실험[Sensor Fusion]카메라 등 센서에서 생성된 인지 결과를 활용한 Object-level Fusion 및 Tracking 구현실차 데이터 기반 Fusion 성능 분석 및 로그 분석C++ 기반 실시간 시스템에서 Fusion 로직 구조 이해 및 개선[SLAM]자율주행을 위한 SLAM 및 Localization 알고리즘 연구 및 개발카메라, IMU 등 센서 데이터를 활용한 기본적인 위치 추정 및 맵 생성실차 또는 시뮬레이션 데이터 기반 정확도·안정성 분석[AI Infrastructure]자율주행 및 ADAS 시스템을 위한 미들웨어 및 시스템 소프트웨어 설계·개발Linux 기반 환경에서 차량 소프트웨어 통합 및 디버깅·테스트 지원시뮬레이션, 자동화 스크립트 등 개발·검증 환경 구축 및 고도화[Data Platform]자율주행 데이터 수집, 처리, 분석 파이프라인 설계·개발모델 학습 및 평가 자동화를 위한 Data Flywheel 구축주행 로그 및 실험 결과 등 대규모 로그 분석을 통한 자율주행 성능 개선대규모 데이터셋을 관리하고 제공하기 위한 확장 가능한 자율주행 데이터 플랫폼 구축[VLA]자율주행 판단 및 제어를 위한 Vision-Language-Action(VLA) 모델 아키텍처 연구Triplane, Flex 등 다양한 Encoder 구조 실험 및 멀티모달 데이터 기반 모델 학습과 주행 판단 근거 (Rationale) 분석Open/Closed-loop 시뮬레이션 환경에서의 모델 검증 및 Failure Case 분석학습·평가 파이프라인 구축 및 Model/Simulation/Data 등 유관 부서와의 협업을 통한 End-to-End 연구 수행Interview Process서류전형 - 코딩테스트 - 1차 인터뷰 - 2차 인터뷰 - 최종합격전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다.Additional Information본 포지션은 채용 연계형 인턴십으로, 인턴십 평가 결과에 따라 정규직 전환 여부를 검토합니다.인턴십은 3개월간 운영되며, 해당 기간 동안 full-time 근무를 원칙으로 합니다.정규직 전환 시에는 인턴십 종료 후 1개월 이내 입사가 가능해야 하며, 조정이 필요한 경우 별도 협의를 통해 결정할 수 있습니다.석사·박사과정 졸업 예정자 및 기졸업자, 또는 경력 1년 미만의 인원에 한하여 지원할 수 있습니다.전문연구요원의 경우, 전직이 가능한 대상자에 한해 지원할 수 있습니다.이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보 및 학교 또는 연구실의 연구 비밀을 침해하는 내용이 없도록 유의하시기 바랍니다.모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.)인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다.장애인/보훈대상자는 관련 법령에 따라 우대합니다.해외 국적자의 경우, 체류 자격 상 정규직 입사가 가능한 분을 대상으로 합니다.제출한 지원서에 허위 사실이 포함된 경우, 합격이 취소될 수 있습니다..※ 지원 전 아래 내용을 꼭 확인해 주세요.42dot이 일하는 방식, 42dot Way 보러가기 →42dot만의 업무몰입 프로그램, Employee Engagement Program 보러가기 →

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About UsHarmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.About the RoleAs a Multi-Agents Mission Planning Engineer, you’ll design and implement the Guidance, Navigation, and Control algorithms that translate high-level mission goals into actionable guidance for autonomous robots and multi-agent systems. You’ll bridge cutting-edge research and field-ready autonomy, ensuring our systems are both intelligent and predictable in live operations.ResponsibilitiesDesign algorithms that decompose high-level missions into structured, solvable guidance tasks for autonomous robots.Develop and optimize mission and path-planning frameworks for autonomous systems.Build scalable backend integrations for mission guidance and execution.Run simulations and validation campaigns to assess autonomy consistency across diverse mission types.Partner with AI/ML, backend, and product teams to ensure algorithms are efficient, testable, and deployable in real-time environmentCandidate RequirementsEducation: Ph.D. or M.S. in Aerospace Engineering, Robotics, Applied Math, AI, or related field. A PhD in the field of multi-agent systems or reinforcement learning is a huge plus.Experience designing and deploying mission- or path-planning algorithms in aerospace, defense, or robotics is a huge plusTechnical Skills: Strong coding in Python and C++ . Deep understanding of autonomous decision-making, multi-agent coordination, and simulation frameworks.Mindset: Ability to move from research prototype to production-grade systemCommitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About the teamOpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and product direction.This group is an innovation loop within FDE. We sprint on a small number of platform bets at a time: identify high-signal problems emerging across deployments, build early versions quickly, validate them with design partners, and work with our core engineering and product counterparts to put successful bets on a scalable path. When a capability is ready to scale, we help transition ownership — and then move on to the next frontier.About the rolePlatform Incubation Engineer is a role within Forward Deployed Engineering (FDE) for strong software and ML engineers who want to build new platform capabilities from scratch, grounded in real customer deployments.You’ll join a small team working in pods against platform bets rather than a single long-running account. You’ll collaborate closely with customer-tagged FDEs and partner teams across engineering and product to: (1) incubate early versions, (2) validate them with design partners through short deployments or pilots, and (3) drive adoption by making the capability durable, usable, and ready to scale. You should expect to be customer-facing when it matters – pitching, rollout planning, debugging, and learning directly from what breaks in production – but your primary charter is to turn frontier signal into reusable platform capability.This role does not require travel. It is based in San Francisco or New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel is optional-by-project and typically <10%, with occasional spikes for key embeds or launches.In this role you willArchitect and build new platform capabilities: turn frontier customer signal into concrete designs, implementations, and APIs that become part of the OpenAI platform.Incubate platform bets end-to-end: take ambiguous problems, form a crisp hypothesis, ship an initial capability, and iterate quickly based on what breaks in real usage.Embed with design partners to learn fast: get close to production constraints, run deep technical discovery, and translate needs into product and platform requirements.Partner with customer-tagged FDEs in the field: deploy and debug together, capture repeatable patterns, and convert field learnings into platform improvements.Design and run pilot programs: define qualification criteria for early adopters, stand up internal/external alphas, and use pilots to harden both the platform and the rollout playbook.Collaborate as part of cross-functional platform teams: partner closely with core product and engineering counterparts, often as a single virtual team, to align on architecture and get to production together.Drive adoption outcomes: measure usage, identify blockers and failure modes, and prioritize the next platform increments that unlock repeatable value.You might thrive in this role if youBring 5+ years of software engineering or ML engineering experience with a track record of shipping 0→1 capabilities that other engineers or customers depend on. Experience in high-ambiguity, fast-iteration environments (startups or product-centric teams) is a plus.Have owned customer-adjacent technical work end-to-end, from scoping and hypothesis-setting through production adoption, and improved outcomes through structured iteration (instrumentation, evals, error analysis, and tightening success criteria over time).Have built or operated systems where reliability, security, and governance materially shaped design (permissions/RBAC, auditability, data access boundaries, rollout safety, observability, and incident-driven hardening).Communicate clearly across engineering, product, go-to-market, and executive audiences, simplifying complex ideas and translating technical tradeoffs into adoption impact, sequencing decisions, and measurable outcomes. You can credibly “pitch” a platform bet in a customer conversation.Default to systems thinking: you turn ambiguous feedback, failures, and escalations into durable product requirements and reusable platform capabilities, not one-off fixes or bespoke delivery work.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Terra AIWe are building the state-of-the-art AI platform for the discovery and development of clean energy and mineral resources. We bring the most advanced techniques in generative AI, foundation modeling, and autonomous decision optimization to tackle the most important problems in the geosciences. These systems can help more reliably identify critical resource deposits, more rapidly measure and characterize them, and design more efficient and sustainable production plans.We are backed by Khosla Ventures and other leading venture investors. We are now looking to grow our team from ~15 to ~30 by the end of the year to continue to mature our technology and support deployment with our world-class mineral and clean energy partners.Role descriptionIn the same way image generators have shown the remarkable ability to produce a diverse set of realistic pictures conditioned on a text prompt (and other inputs), we are developing a generative model that produces 3D geological models conditioned on geophysical surveys, bore hole measurements, and other forms of physical observation. The outputs of the generative model capture what we know and don’t know about the state of the subsurface, allowing explorers to make maximally informed decisions about how and where to explore for critical resources. We are looking for a talented deep learning engineer or scientist to lead the development of this model that will revolutionize decision making in the earth subsurface for a wide range of clean energy applications.Role ResponsibilitiesDesign, train, test, and iterate on diffusion models for 3D geological modelsDesign, train, test, and iterate on an approach to for conditioning generation on geophysical data and other observationsInform the generation of synthetic data to improve model performanceAdapt diffusion modeling approach to specific real-world projects in collaboration with project teams. QualificationsRequired Qualifications:Extensive PyTorch ExperienceDeep understanding of PyTorch, including writing custom modules, optimizing training, and debugging issues in large-scale models.Expertise in Developing Large Deep Learning Models from ScratchProven ability to design, implement, and train complex deep learning architectures from the ground up.Data Curation SkillsHands-on experience in creating, cleaning, and maintaining high-quality datasets tailored for machine learning applications.Strong Software Engineering and Design ExperienceProficient in software development best practices, including version control, testing, and code optimization.Familiarity with designing scalable and maintainable systems.Bonus points if you:Experience with Generative ModelsFamiliarity with generative architectures, particularly diffusion models, and an emphasis on posterior sampling methods.Knowledge of Transformer ArchitecturesExperience building and training transformers, especially in applications involving 3D data.Scaling Models Across Large GPU ClustersExpertise in parallelizing models across multiple GPUs and optimizing distributed training pipelines.Cloud Infrastructure ExpertiseExperience setting up, managing, and optimizing cloud environments for machine learning workloads, including provisioning resources and managing costs.

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About Norm AiNorm Ai, the leading Legal & Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with reliability and trust.Norm’s platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise.We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO).Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm’s proprietary suite of no-code software tools. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows.Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams. AI Fluency: Norm Ai expects all team members to be fluent in AI. Successful candidates actively use AI in their day-to-day work to support thinking, creation, and problem-solving. They use it to improve the quality and speed of their work and to continuously refine how work gets done end-to-end. Candidates should be prepared to demonstrate and discuss their AI usage throughout the interview process, including concrete examples of tools, workflows, and outcomes. We look for practical, hands-on experience, not theoretical familiarity.AI-Enabled Compliance ReviewerThis RoleAs an AI-Enabled Compliance Reviewer at Norm Ai, you will serve as a dedicated compliance reviewer for Norm Ai’s clients, some of the largest asset management firms in the world. You will function as an extension of each client’s legal and compliance team while conducting reviews with the Norm Ai compliance platform.The role combines hands-on compliance judgment with close collaboration alongside Norm’s Legal Engineers to translate regulatory requirements, review standards, and examination practices into AI-native workflows and agents. In addition to supporting compliance reviews, regulatory examinations, and advisory engagements, you will help define how compliance work is operationalized, automated, and continuously applied within an AI-driven operating model.What You’ll DoYou will serve as a compliance reviewer for Norm Ai clients, assigned to one or more client engagements at a time for multi-month review periods. During each assignment, you will function as an extension of the client’s compliance team, conducting reviews using Norm’s AI-powered compliance platform.Perform hands-on regulatory reviews across marketing materials, disclosures, policies and procedures, and surveillance outputs, applying professional compliance judgment alongside AI-assisted analysis.Work closely with Norm’s Legal Engineers and Norm Law, LLP’s Attorneys to translate regulatory requirements, review standards, and client-specific interpretations into AI agents and structured review logic. This includes helping define how reviews should be conducted, what constitutes an issue, and how regulatory standards are operationalized within automated workflows.Support SEC examinations, compliance program reviews, and other regulatory or advisory engagements for investment advisers and related financial institutions, contributing both substantive analysis and defensible documentation.Note: Work on-site with clients may be required, including multiple days per week in a secondment-style arrangement, typically within the NYC tri-state area, depending on the engagement. Skills & Experience:Bachelor’s degree; Law degree optional 2 or more years of experience performing regulatory compliance consulting or compliance analysis for investment advisers or similar regulated entities; compensation commensurate with experienceHands-on experience with compliance testing, regulatory exams, or advisory engagements.Experience working with SEC regulations and FINRA rules applicable to investment advisers and broker-dealersExperience working with compliance technology tools, data-driven testing, or process automation (not required, but a strong plus).Comp and Benefits$100,000 - $140,000 per year plus equity.The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.To learn more about Norm Ai, visit our website.

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!About Snorkel We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them - either by leveraging Snorkel Flow or developing custom approaches when needed. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel Flow’s next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research, and standardizing bespoke solutions into internal recipes and staying naturally curious about the infrastructure that underpin the Applied AI stack end-to-end. Main Responsibilities Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform. Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows. Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role. Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow. Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup. Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices. Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI. Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams. Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI. Annual travel up to 25%. Preferred Qualifications B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience. 3+ years of customer-facing experience in the design and implementation of AI/ML solutions. Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow). Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI). Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement. Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. Ability to work in a fast-paced environment and balance priorities across multiple projects at once. Compensation range for Tier 1 locations of San Francisco Bay Area $172K - $300K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Locations Redwood City, CA - Hybrid; San Francisco, CA - Hybrid - US #LI-CG1Salary Range $172,000—$300,000 USDBe Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.