Find AI Work That Works for You

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⚠️ Please read firstThis is a full-time, in-person role based in San Francisco (Presidio) - we work from the office 5 days a week.You must be based in the Bay Area or willing to relocate before starting.We require US work authorisation, but are open to O-1 visa sponsorship for truly exceptional candidates. Full Stack EngineerWhat You’ll DoYou’ll write and ship full-stack features end to end — from frontend UI, to backend logic, to the database and infra.We’re still a small team, and the product is early — you won’t just be building features; you’ll help shape the trajectory of the company and the future of AI development.Here are a few examples of the kinds of things you might work on:Build a real-time, multiplayer IDE for AI development — think Google Docs meets VSCode, powered by Y.js and TipTap.Extend our executor: a custom runtime that turns natural language into live, traceable agent workflows with pause/resume and retries.Design the “GitHub for AI” — an interface for exploring, remixing, and sharing agents and flows with versioning and collaborative editing.Talk to users, debug live issues, and ship fixes fast — often the same day.Make product calls in the moment when things are ambiguous, and help shape the platform we’re building.${your ideas}.StackTypeScript, React, Next.js, Node.js, PostgreSQL, Cloudflare Workers, Durable Objects, Y.js, and TipTap.Who you areMinimumYou have 4+ years of engineering experience, with a strong track record of shipping real products.You’re fluent in TypeScript and comfortable working across the stack — frontend, backend, and database.You’ve built and owned complex full-stack systems end to end, not just small pieces.You’re comfortable with ambiguity, unblock yourself, and make progress without waiting on perfect specs.You enjoy working in a fast-paced, high-trust startup environment and like wearing multiple hats.Bonus (but not required)You’ve worked with our stack: React, Next.js, Node.js, PostgreSQL, Cloudflare Durable Objects.You’ve built or integrated with LLM-based tools and have hands-on experience with AI workflows.You’ve been a founder or early-stage engineer before, and care deeply about product.The ProcessWe keep our process simple. Exceptional candidates go from first touch to offer within 2 weeks.ApplicationSubmit your resume and answer a few short questions. If it looks like a fit, we’ll invite you to send a 1-minute Loom video: tell us who you are and why you want to join Wordware.15-minute intro callQuick check to align on location, motivation, and logistics. If it’s a go, we move fast from here.45-minute technical interviewYou’ll build a small full-stack app. We’re looking for fluency, speed, and product sense.System design interviewA deep dive into how you think and architect systems. We’ll walk through a real Wordware problem together.Final conversationQuick vibe check, answer your questions, and scope out the work trial.Work trialPaid trial to work on a real project in person with us — usually a few days to two weeks (flexible to do what works for you). See how we work and whether this feels like the right fit on both sides.

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you.com is an AI-powered search and productivity platform designed to empower users with personalized, efficient, and trustworthy search experiences. As a cutting-edge technology company, we combine advanced AI models with user-first principles to deliver tools that enhance discovery, creativity, and productivity. At you.com, we are on a mission to create the most helpful search engine in the world—one that prioritizes transparency, privacy, and user control. We’re building a team of innovators, problem-solvers, and visionaries who are passionate about shaping the future of AI and technology. At you.com, you’ll have the opportunity to work on impactful projects, collaborate with some of the brightest minds in the industry, and grow your career in an environment that values creativity, diversity, and curiosity. If you’re ready to make a difference and help us revolutionize the way people search and work, we’d love to have you join us!  About the Role AI is transforming how enterprises sell, support, and operate — surfacing hidden knowledge, automating workflows, and collapsing weeks of effort into minutes. As a Senior AI Engineer, Enterprise Solutions, you’ll act like a startup CTO, turning this vision into robust, production-ready AI solutions that ship fast and deliver measurable wins for our customers. You will get a front seat to AI applications in the economy along with defining and shaping the future.   Responsibilities  Build and Ship: Design and develop AI applications primarily in Python. Run evaluations to validate models and package solutions for Kubernetes, AWS, or adapt them to customer on-premises clusters. Work with Customers: Lead discovery sessions, guide pilot projects, and ensure successful deployments. Collaborate mostly remotely with occasional on-site workshops. Run and Improve: Monitor system performance and reliability. Add to the logging, billing and auth services. Build internal tooling to automate repetitive tasks. Share What You Learn: Provide feedback on patterns, pain points, and reusable modules to the core product team to influence the future direction of the AI platform.   Qualifications Required: 5+ years of experience writing solid production-quality software. Hands-on experience with LLMs and a solid understanding of machine learning fundamentals. Strong customer empathy: ability to listen, ask insightful questions, and translate real-world pain points into intuitive technical designs. Product-minded approach: focus on outcomes, comfortable shaping scope with product managers, defining success metrics, and making trade-offs to accelerate learning. Excellent communication skills, able to engage effectively with executives and engineers both remotely and on-site. Versatile problem-solver who thrives in ambiguous environments and enjoys rapid learning. Nice to Have: Experience in forward-deployed or product-oriented roles. Exposure to regulated industries such as healthcare or finance. Proficiency with Terraform or Pulumi and experience across multiple cloud platforms. Experience integrating with ERP, CRM, or other large enterprise systems. Experience mentoring junior engineers or leading small technical teams. Our salary bands are structured based on a combination of geographic tiers and internal leveling. Compensation is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations.Salary Band$200,000—$270,000 USDCompany Perks: Hubs in San Francisco and New York City offering regular in-person gatherings and co-working sessions Flexible PTO with U.S. holidays observed and a week shutdown in December to rest and recharge* A competitive health insurance plan covers 100% of the policyholder and 75% for dependents* 12 weeks of paid parental leave in the US* 401k program, 3% match - vested immediately!* $500 work-from-home stipend to be used up to a year of your start date* $1,200 per year Health & Wellness Allowance to support your personal goals* The chance to collaborate with a team at the forefront of AI research *Certain perks and benefits are limited to full-time employees only   you.com is an E-Verify employer. We are also an inclusive, equitable, and accessible workplace. Please let us know if you require accommodation for any portion of the recruitment and hiring process.

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About the RoleWe’re looking for smart, motivated, and curious PhD students to join us next summer or earlier as Research Scientist Interns. This is a unique opportunity to explore new research directions in AI, reinforcement learning, and multi-agent systems while working alongside a small, elite team of researchers and engineers.You will not be constrained to our current product goals, but rather, you will be given the resources needed to accomplish your best work. You will be encouraged to publish your work with us in conferences/journals.QualificationsCurrently pursuing a PhD in Computer Science (AI/ML, NLP, Robotics, etc.), or computational fields in Physics, Chemistry, Biology, Neuroscience, Cognitive Science, etc.Demonstrated ability to design, implement, and evaluate experimentsStrong publication record or evidence of impactful research contributionsStartup-oriented mindset: excited by ambiguity, rapid iteration, and big ideasBonusPublications at top conferences (ICML, ICLR, Neurips, UAI, RSS, CoRL, JMLR, TMLR etc)Experience with large-scale distributed training or inference engines (e.g., DeepSpeed, vLLM, FSDP)Contributions to open-source projects in AI/ML or systems researchCross-disciplinary interests (e.g., neuroscience, human-computer interaction, generative media)What makes us interestingSmall, elite team of ex-founders, researchers from top AI Labs, top CS grads, and engineers from top companiesTrue ownership You will not be blocked by bureaucracy, shipping meaningful work within weeks rather than monthsSerious momentum We're well-funded by top investors, moving fast, and focused on executionWhat we doShip consumer products powered by cutting-edge AI research, andBuild infrastructure that facilitates research and product, andInnovate cutting-edge research that will open up new consumer product formsThe DetailsMinimum 40 hours a week, onsite in Menlo Park (start and end date flexible)Startup hours applyGenerous compensation

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Business runs on contracts. Every dollar earned, relationship formed, and advantage gained comes down to the contract that makes it real. But getting a contract done is more complicated than it should be. And when contract data is buried, leaders can’t see risks, obligations, or act in time.Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you’re buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That’s why the world’s most transformative organizations, from OpenAI to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business. We’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work six years running, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com or follow us on LinkedIn. Engineering at IroncladAs a Staff Engineer at Ironclad, you'll be at the core of our platform, directly impacting how users search and interact with their contract data. You’ll be responsible for architecting and building the next-generation, scalable search ecosystem that empowers legal teams to navigate a massive corpus of complex, structured and unstructured data with speed and accuracy. At Ironclad, we’ve built a product that brings a two-thousand-year-old profession into the digital age, and you’ll play a pivotal role in driving the foundation forward.We are looking for someone with a strong background in search technologies and a track record of shipping high-quality, high-performance systems. We work in a highly collaborative environment, and strive to foster a positive, inclusive culture. If you’d like to join us on our mission to build the product that legal teams love, let’s talk!What you'll do:Collaborate cross-functionally with designers, product managers, and other engineers to spec, design, and build features and systems for our core search platform.Partner with quality engineers to define, build and maintain testing strategy.Lead, mentor and provide thoughtful feedback to other team members.Grow your teams by interviewing and recruiting talented engineers to Ironclad.Work on a modern stack built upon: TypeScript, Python, ReactJS, Node.js, Java, and Docker containers in Kubernetes on Google Cloud Platform (experience with these specific technologies not required).What we look for:8+ years of software engineering experience with a proven track record of designing, building, and maintaining complex systems.Expertise in information retrieval, NLP, and machine learning. You have a deep understanding of concepts like indexing, ranking, query parsing, tokenization, and vector search.Hands-on experience with at least one major search engine (e.g., Elasticsearch, OpenSearch, Solr), and familiarity with search evaluation frameworks (e.g., precision, recall, NDCG).Experience with NLP/ML models (e.g., transformers, embeddings), including fine-tuning and relevance feedback.Strong leadership skills with the ability to advise management on roadmap decisions and mentor junior team members.Excellent collaboration and communication skills, with a passion for shipping great products and a drive to improve technical architecture.Ironclad’s Values: drive, intent, integrity, and empathyBenefits:Health, dental, and vision insurance401kWellness reimbursementTake what you need vacation policyGenerous parental leave for both primary and secondary caregiversBase Salary Range:Staff Software Engineer: $210,000 - $235,000Senior Staff Software Engineer: $240,000 - $270,000The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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About Brain Co.Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world’s most important institutions - delivering impact on real-world problems.Our progress so farAutomated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in valueOptimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in lossesStreamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin workRaised a $30M Series A from top investorsBuilt a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and DatabricksAt Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.About the RoleWe’re seeking an AI Due Diligence Principal to lead engagements with private equity sponsors and investors — evaluating assets through the lens of AI-driven opportunities. This role sits at the intersection of advanced AI technology, investment strategy, and value creation.You will lead diligence processes end-to-end, serve as a trusted advisor to investors, and partner closely with Brain Co.’s engineering and product teams to deliver actionable recommendations and high-impact AI solutions for sponsor-backed companies. This role is designed for an operator who combines deep strategic experience with technical literacy, commercial instinct, and the ability to drive results in high-stakes environments.Key ResponsibilitiesLead AI Diligence: Evaluate target companies’ AI strategies, data infrastructure, and technical maturity. Identify opportunities, risks, and areas for value creation, distilling findings into clear, business-oriented insights.Sponsor & Client Management: Serve as the primary partner for private equity and corporate sponsors. Build long-term trust, align on scope, deliver findings with conviction, and ensure client satisfaction.Bridge Strategy & Technology: Translate complex AI/ML capabilities into actionable recommendations for investment committees, portfolio executives, and Brain Co. stakeholders.Deliver Value Creation Plans: Work with engineering and product leaders to scope, prioritize, and implement AI solutions within sponsor-backed assets — ensuring commercial outcomes and technical feasibility.Drive Execution: Own diligence engagements from scoping through delivery, ensuring excellence in both strategic analysis and operational outcomes. What We’re Looking ForExperience12–15+ years of professional experience.Background in top-tier consulting PE groups (McKinsey, Bain, BCG) and/or direct private equity investing.Startup operating experience required; demonstrated ability to execute and scale in high-growth environments.Proven track record of leading complex diligence processes with material investment and operational outcomes. Skills & AttributesStrong technical literacy in AI/ML, with the ability to evaluate data pipelines, model strategies, and infrastructure at a high level.Exceptional problem-solving and analytical skills; ability to turn complex analyses into clear insights.Executive-level communication; proven ability to influence senior sponsors, investors, and portfolio executives.Low-ego, hands-on operator who thrives in ambiguous, fast-paced environments.Commercial instinct and ownership mindset — capable of connecting AI opportunities directly to value creation.Must be in SF or willing to relocate (hybrid 3 days/week in office) Why Join UsShape how AI drives investment decisions across industries, working directly with leading sponsors and portfolio executives.Be part of an applied AI company tackling some of the world’s most consequential challenges.Collaborate with industry veterans and world-class investors.Earn competitive compensation + meaningful equity.Thrive in a culture built on speed, curiosity, and impact. If you want to sit at the frontier of AI and private equity — and deliver tangible results at global scale — Brain Co. is the place to build.

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Build and lead our data function as we scale, turning insights into strategic decisions that drive our next phase of growth.At Sanity.io, we’re building the future of AI powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create and automate content the way their business works. Accelerating digital development and super charging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom and Morningbrew are using Sanity to power and automate their content operations.As our Head of Data & Analytics, you'll build and lead our data function during a pivotal growth phase. You'll be both player and coach – rolling up your sleeves for hands-on technical work while scaling a team of data engineers, analytics engineers, and data analysts. This role will shape how we leverage data to drive strategic decisions and accelerate our next phase of growth.What you would do:Build and scale the data teamRecruit and manage data engineers, analytics engineers, and data analystsFoster a high-performing, collaborative culture focused on delivering actionable insightsBalance hands-on technical work with strategic leadership and team developmentEstablish scalable processes and best practices as the team growsDrive data strategy and infrastructureOwn our data strategy and ensure alignment with business objectivesDesign scalable data pipelines, architecture, and governance using modern tools like BigQuery, dbt, Airflow, Amplitude and LookerPartner with engineering to enhance product telemetry and data collectionImplement data quality frameworks and monitoring systemsEnable data-driven decision makingWork with product, sales, marketing, and leadership teams to deliver insights that drive business outcomesBuild dashboards and self-service analytics capabilitiesLead strategic analyses on customer behavior, product adoption, and business performanceTranslate complex data into clear recommendations for technical and non-technical stakeholdersAbout you:Based in: East Coast of North America or EuropeExperience: 5+ years in data roles with 3+ years building and scaling data teams at a fast-growing SaaS startupLeadership: Drive to create change and ability to define strategy to develop Data and Analytics requirements and priorities. Proven ability to executeBusiness acumen: Deep understanding of SaaS metrics and how data drives business strategyCommunication: Outstanding ability to influence stakeholders and translate technical concepts into business insightsOwnership mindset: High accountability and sense of urgency with bias toward action and problem-solving – able to do IC work when neededTechnical expertise: Strong in SQL, Python, data modeling, and modern data stack (we use BigQuery, dbt, Airflow, Looker)What we can offer:A highly-skilled, inspiring, and supportive teamPositive, flexible, and trust-based work environment that encourages long-term professional and personal growthA global, multi-culturally diverse group of colleagues and customersComprehensive health plans and perksA healthy work-life balance that accommodates individual and family needsCompetitive stock options programSalary Range: $280k - $330k annually. Final compensation within this range will be determined based on the candidate’s experience and skill set.Who we are:Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business.Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years.You can only build a great company with a great culture. Sanity is a 200+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here!Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

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We're building the AI platform for underserved industries.LLM usage has seen a meteoric rise in the past year, but there is still a significant gap between agentic innovation and its use in the real world. This is especially true for underserved industries like automotive and healthcare, where outdated systems persist due to barriers to entry, legacy software, and high-stakes consequences of hallucinations and failure. Here at Toma (YC W24), we are bridging this gap by providing a customer-centric platform to deploy and monitor AI agents, even for non-technical users. We recently raised a $17M Series A from a16z and are building the future of human-AI interactions, starting in the automotive industry.Our TeamWe’re assembling a team of Avengers: engineers, product managers, former founders, athletes, and leaders from Scale AI, Uber, Braze, Microsoft, Amazon, and more. We consider everyone regardless of their backgrounds or identities. Learn more about us here.About this RoleWe’re looking for a Staff Software Engineer to lead our Product pod, the team responsible for everything users touch, from our real-time voice AI dashboard to the systems that power high-throughput streaming and in-house tooling.You’ll own the technical direction of the pod, mentor other engineers, and partner closely with product and design to deliver fast, reliable, and magical user experiences. This role is deeply hands-on. You’ll be writing and reviewing code daily, shaping architecture, and helping scale our platform as we grow.What you will doLead the architecture, implementation, and delivery of user-facing products (dashboard, real-time voice AI, support tooling)Write high-quality, production-grade TypeScript across the stack (Next.js, Bun)Mentor and guide engineers through code reviews, design discussions, and technical planningCollaborate directly with Product and Design to align on priorities and execute quicklyPartner with other pods to integrate intelligent features into the product experienceDrive engineering velocity while maintaining reliability and system healthWork closely with customers to translate their feedback into scalable product improvementsPreferred QualificationsExperience in TypeScript, low-level Node.js (Bun), T3 Stack (Next.js, React, Prisma, PostgreSQL, NextAuth, tRPC)6+ years of experience building and scaling full-stack web applicationsExperience leading projects or teams in fast-paced environmentsCare about craft and speed (you can move quickly without compromising on quality)Desire to continuously learnDon’t think you meet all the qualifications? Apply anyway. We’d love to hear what excites you about us, and we may have a role that's a good fit for you.BenefitsCompetitive salary with meaningful equityFree health, dental, and vision insuranceFree in-office lunch and dinnersUnlimited PTO

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Role DetailsLocation: San Francisco, CA. This role is based out of our San Francisco HQ and is not eligible for full-time remote work.About UsAt FurtherAI, we’re building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation.We’ve raised a $5M seed round from top investors (YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience.Now, we’re looking for an exceptional Data Scientists to join our early team and help shape both our product and culture.Why Join UsRocketship Growth: Post-PMF, with revenue growing at an exceptional pace.Elite Team: Founding team includes ex-Apple AI Research, 4 ex-YC founders, and 6 ex-founders. Engineers have prior experience at Apple, Microsoft, Google, and Amazon.Technical Depth: Work alongside a staff research scientist and a team of 7 engineers solving cutting-edge problems in AI and scalable backend systems.Massive Market Impact: Insurance is the backbone of global commerce - our work reshapes how this industry operates.Founder’s Mindset: Perfect fit if you want to own big pieces of the product and possibly start your own company in the future.What You’ll DoOwn data & evaluation across multiple customer projects - design metrics, run experiments, and build dashboards to track model and workflow performance.Evaluate and refine LLM-based systems - analyze outputs, tune prompts, and measure accuracy and coverage across varied insurance workflowsAnalyze and communicate insights from production data to improve accuracy, coverage, and reliability.Work closely with our CTO, Sashank (ex-Apple AI/ML), to define success metrics and productionize AI systems.Collaborate with customers to translate workflows into measurable outcomes.Work in-person from our San Francisco HQ (5-day week).What We’re Looking For3+ years in data science or applied analytics.Experience prompting and evaluating LLMs for real-world applicationsStrong in Python, SQL, and building evaluation or dashboarding pipelines.Solid grasp of model metrics, error analysis, and experimentation.Clear communicator who can turn data into actionable insights.At FurtherAI, we set a high bar. We’re not looking for someone who just wants a job - we’re looking for someone who wants to build something transformative. If you thrive in environments where the pace is fast, expectations are high, and the rewards are outsized, you’ll love it here.

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About the Role We’ve just launched our first product, shortcut.ai, and we’re looking for a GTM Lead to help us put fuel on the fire: In about a month we’ve already grown to thousands of paying users with strong retention, all without any dedicated growth motion in place. This is a rare opportunity to shape growth at the ground floor of a company defining the future of AI agents. You’ll have resources to build testing channels, run experiments, and develop the playbook that scales Shortcut and future products.Our ideal candidate has early stage growth experience at a breakout AI tooling company. You should be equally comfortable experimenting across content, community, partnerships, paid, and product-led loops, eager to double down once you find what works.What you'll doBuild and own our growth motion end-to-end, from experiments to scalable strategiesDevelop and execute omni-channel growth campaigns (content, community, partnerships, product loops, paid)Identify and unlock new distribution opportunities for Shortcut and beyondWork closely with product and engineering to design growth features and optimize conversion funnelsEstablish metrics, dashboards, and reporting to measure and guide growthServe as the connective tissue between users and the team, ensuring growth tactics align with user needsCreate the foundation for a world-class growth functionQualificationsEarly growth experience at a high-growth startup, ideally in the AI tools spaceProven success running high-impact growth experiments across multiple channelsStrong product instincts and understanding of how growth loops and product features reinforce each otherAbility to operate autonomously and prioritize Exceptional communicator who builds trust with both technical teams and usersWhat makes us interestingSmall, elite team of ex-founders, researchers from top AI Labs, top CS grads, and engineers from top companiesTrue ownership You will not be blocked by bureaucracy, shipping meaningful work within weeks rather than monthsSerious momentum We're well-funded by top investors, moving fast, and focused on executionWhat we doShip consumer products powered by cutting-edge AI research, andBuild infrastructure that facilitates research and product, andInnovate cutting-edge research that will open up new consumer product formsThe DetailsFull-time, onsite role in Menlo ParkStartup hours apply Generous salary, with additional benefits to be discussed during the hiring process

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role As a Manager, Kernel Software, you will lead a team of engineers at the intersection of hardware and software, developing high-performance solutions for cutting-edge AI and HPC workloads. You will collaborate with leaders from industry and academia to co-design software that fully harnesses the capabilities of our custom, massively parallel processor architecture.  In this dual-role position, you will guide the technical roadmap, oversee the design and optimization of deep learning operations, and ensure the delivery of robust, high-performing kernel libraries. You will also manage and mentor a team of talented engineers, supporting their growth and fostering a culture of technical excellence, collaboration, and innovation. Your leadership will directly impact our ability to scale training workloads and deliver breakthroughs in performance and efficiency.  Responsibilities  Lead the design and development of high-performance ML and linear algebra kernels for the Cerebras WSE using parallel programming techniques.  Guide a team building optimized low-level routines in assembly and a domain-specific C-like language.  Use performance modeling to inform design and optimization decisions.  Drive test development to ensure correctness and performance of kernel libraries.  Evolve kernel architecture to support emerging ML models and workloads.  Collaborate with hardware architects to influence future system design.  Mentor engineers and foster a high-performing, collaborative team culture.  Skills & Qualifications  Bachelor’s, Master’s, PhD, or foreign equivalent in Computer Science, Computer Engineering, Mathematics, or a related field.  Proven experience leading technical teams, including mentoring engineers, setting technical direction, and driving execution.  Strong understanding of hardware architecture concepts and willingness to dive into new system architectures.  Proficiency in C++ and Python; experience with low-level systems programming.  Familiarity with library/API development best practices and performance optimization.  Excellent debugging skills across complex, layered software stacks.  Preferred Skills & Qualifications  Experience leading teams in kernel development, performance optimization, or low-level systems programming.  Strong background in parallel algorithms and distributed memory systems.  Hands-on experience with accelerators such as GPUs, FPGAs, or other custom hardware.  Familiarity with machine learning workloads and frameworks like TensorFlow and PyTorch.  Understanding of HPC kernels and strategies for optimizing them on modern architectures.  Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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About Mistral At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited. At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit. Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI. What will you do • Research and develop novel methods to push the frontier of large language models• Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)• Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale• Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact About you • You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)• You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)• You have high engineering competence. This means being able to design complex software and make it usable in production• You are a self-starter, autonomous and a team player Now, it would be ideal if • You have hands-on experience with training large transformer models in a distributed fashion• You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment • You have a strong publication record in a relevant scientific domain Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral's mission. We value profile and experience diversity. Benefits 💰 Competitive cash salary and equity🥕 Food : Monthly meal allowance🥎 Sport : Monthly contribution to a Gympass subscription💰 Private pension plan

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About Us Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.    Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In 2024, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.  About The Role  We are seeking a highly skilled and experienced Deployment Engineer to build and operate our cutting-edge inference clusters. These clusters would provide the candidate an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that harness its unparalleled power.   You will play a critical role in ensuring reliable, efficient, and scalable deployment of AI inference workloads across our global infrastructure. On the operational side, you’ll own the rollout of the new software versions and AI replica updates, along the capacity reallocations across our custom-built, high-capacity datacenters.    Beyond operations, you’ll drive improvements to our telemetry, observability and the fully automated pipeline. This role involves working with advanced allocation strategies to maximize utilization of large-scale computer fleets.   The ideal candidate combines hands-on operation rigor with strong systems engineering skills and thrives on building resilient pipelines that keep pace with cutting-edge AI models.  This role does not require 24/7 hour on-call rotations.     Responsibilities  Deploy AI inference replicas and cluster software across multiple datacenters  Operate across heterogeneous datacenter environments undergoing rapid 10x growth  Maximize capacity allocation and optimize replica placement using constraint-solver algorithms  Operate bare-metal inference infrastructure while supporting transition to K8S-based platform  Develop and extend telemetry, observability and alerting solutions to ensure deployment reliability at scale  Develop and extend a fully automated deployment pipeline to support fast software updates and capacity reallocation at scale  Translate technical and customer needs into actionable requirements for the Dev Infra, Cluster, Platform and Core teams  Stay up to date with the latest advancements in AI compute infrastructure and related technologies.   Skills And Requirements  5-7 years of experience in operating on-prem compute infrastructure (ideally in Machine Learning or High-Performance Compute) or id developing and managing complex AWS plane infrastructure for hybrid deployments  Strong proficiency in Python for automation, orchestration, and deployment tooling  Solid understanding of Linux-based systems and command-line tools  Extensive knowledge of Docker containers and container orchestration platforms like K8S  Familiarity with spine-leaf (Clos) networking architecture  Proficiency with telemetry and observability stacks such as Prometheus, InfluxDB and Grafana  Strong ownership mindset and accountability for complex deployments  Ability to work effectively in a fast-paced environment.   Location   SF Bay Area.  Toronto, Canada.   Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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The AI orchestration of your wildest imagination.n8n is the open AI workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.Since our founding in 2019, we’ve grown into a diverse team of over 160 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:Cultivated a community of more than 650,000 active developers and buildersEarned 145k+ GitHub stars, making us one of the world’s Top 40 most popular projectsBeen ranked as one of Europe’s most promising privately held SaaS startups (4th in Sifted’s 2025 B2B SaaS Rising 100)Raised $240m to date, from Sequoia’s first German seed to our recent $180m Series C - bringing us to a $2.5bn valuationAnd are grateful for our 94 eNPS score (most companies would call 70 excellent) That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register.We’re in a defining moment of an incredible journey. Come and build with us.At n8n, we’re always excited to connect with exceptional product managers and product designers who are passionate about building intuitive, powerful, and user-centric experiences.This Product & Design Talent Pool is not for a specific open role but it’s a way for us to stay in touch with talented professionals who could be a strong fit for future opportunities in Product Management, Product Design, and UX Research. And yes, we do check this regularly. We’re particularly interested in connecting with past founders, relatively technical profiles, and AI optimists who want to push the boundaries of what’s possible in workflow automation.What You’ll BringExtensive experience driving product vision, strategy, and execution, ideally in fast-growing environments.A strong product sense and design craft, with a proven ability to balance user needs and business impact.You use AI daily in your work as a PM and you know how to codeComfort working across functions, aligning teams, and turning complex challenges into simple, elegant solutions.A curious, data-informed mindset with the creativity to imagine new possibilities.Enthusiasm for emerging technologies, especially automation and AI-driven innovation.What We ValueA product-first mindset rooted in empathy for users.Former founders & Entrepreneurs.Curiosity about workflow automation, orchestration, and the future of AI.Ownership and adaptability in fast-changing contexts.Forward-thinking creativity and optimism about what technology can enable.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.AI enablement 🤖 – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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About Sana At Sana, we're on a mission to bring superintelligence to work—a seamless, beautiful way to access all your company’s apps, knowledge, and data. We are obsessed with making AI agents do real work to empower our users to process and act on knowledge at an unprecedented scale.We’re a talent-dense team of engineers and designers in Stockholm, united by a passion for building great products with deep technical excellence. Our backgrounds span AI research at Google, distributed systems at Spotify, product design and AI infrastructure at Apple, competitive programming, and scaling fast-growing startups. At Sana, everyone is an owner. We cut out processes, maximize impact, and value rapid prototyping and iteration.Our AI tools already help over a million people learn and work better across hundreds of leading enterprises. But we’re just getting started—there’s so much more to build. Join us to tackle some of the most challenging and meaningful problems of our generation.About the roleShip customer-facing value quickly in small teams—owning everything from problem definition through UX, API, and instrumentation. You’ll work end-to-end to deliver features that delight users and move the needle for Sana and our customers.In this role, you willOwn features from design to deploy—frontend (React/TypeScript), backend (Node/TypeScript) and database (Postgres)Integrate with agent and retrieval APIs to deliver seamless product experiencesInstrument products, run A/B tests, and iterate quickly with design and PMMake pragmatic trade-offs and thrive in ambiguous 0→1 product spacesCollaborate closely with stakeholders, users and teammates to define and solve the right problemsWhat success looks likeFeatures ship fast, delight users, and drive measurable impactEnd-to-end ownership is the norm—problems are solved, not handed offProduct instrumentation and A/B tests inform every iterationYou are a force multiplier for your squad, making everyone around you betterAmbiguity is an opportunity, not a blockerOur 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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Job Description:Shield AI is seeking an exceptional Co-op candidate to join the team in building our autonomous aircraft. You will join a team of highly talented cross-functional engineers that exhibit a culture of mentorship, kindness, ownership, and hard work. The start date and duration of the Internship/Co-op are flexible. What you'll do:You will be given ownership of a project that is tailored to the start date, duration, and location of your Co-op.Your work will directly contribute to the success of our novel aircraft development program. You will understand exactly why your project matters and how it ties into our critical path development objectives.You will be partnered with a senior engineer as mentor and guide for technical input and professional development. Examples of projects:Design a circuit board involving analog, digital, mixed signal, high speed circuits that enables us to test a prototype flight computer.Design, simulate, and verify high voltage power electronics (>10kW) DC/DC Converters and DC/AC inverters.Work with a senior engineer to bring-up and validate a new Avionics system.Identify bugs and drive changes to fix them.Build a test rack to deliver fully automated test coverage of a flight critical sub-system.Run a HALT campaign to ensure a series of new circuit boards are highly reliable. Required qualifications:Have completed at least the 2nd year of a relevant degree. Typically, Electrical Engineering.Strong technical fundamentals.Have been part of an engineering team/club.Experience with electrical design software and tools such as Altium, KiCAD, an oscilloscope, etc.Demonstrated history of showing ownership of project outcomes and delivering exceptional results.Record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.

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About the roleJoin our engineering team to help build the future of knowledge sharing and AI-powered learning. We're looking for talented engineers who can contribute across our technology stack. Whether you're a generalist or have deeper expertise in specific areas, we value strong engineering fundamentals and the ability to learn and grow with our team.What 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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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 At our core, we are shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you’ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale—millions of interactions daily—while shaping the future of AI-powered contact centers.  If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems to create real product impact, you will feel right at home at Observe.AI. You’ll also have the opportunity to publish in top conferences, and influence Observe.AI’s product and platform strategy.  Beyond the tech, you’ll join a collaborative, mission-driven culture where innovation, impact, and fun go hand in hand. We value curiosity, collaboration, and the courage to push boundaries. What you’ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI’s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you’ll bring to the role Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist.  3+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP/ NLU applications. Good understanding of recent advances in building LLM-powered applications,  and multi-agent systems at scale.  Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus Published papers in top NLP/ NLU conferences or workshops are a plus Relevant open-source contributions are a plus. Perks & Benefits Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) 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.

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About Sana At Sana, we’re building Learn—an AI-powered learning platform that combines the simplicity of a modern LMS with intelligent features like AI tutor, automated content generation, and interactive apps. Our goal is to help enterprises make knowledge not just accessible, but actionable at scale.We’re a product-obsessed team of engineers and designers from companies like Google, Spotify, and Databricks, united by a focus on technical excellence and rapid iteration. With Learn already supporting hundreds of leading enterprises, we’re just getting started—and there’s much more to build.About the roleYou'll build and evolve the core services that power agents and product features, with a focus on enterprise-scale workloads, performance optimization, and long-term architectural sustainability. You drive architecture and systems design to ensure our platform can support high volumes of data, entities, and demanding enterprise clients.In this role, you willDesign and decompose services and APIs for scale and clarityBuild eventing and queue systems for reliable, high-throughput data flowsLead schema evolution, migrations, query/index optimization and caching strategiesDefine and enforce consistency models and multi-region readinessOptimize for performance budgets and privacy/tenant isolationWork hands-on with TypeScript/Node, Postgres, and distributed systems primitivesWhat success looks likeCore services are reliable, scalable, and easy to evolveRisks are identified and solved before issues become criticalAPIs are clear, well-documented, and power seamless product experiencesData boundaries are robust—privacy and tenant isolation are never compromisedPerformance budgets are met, even under heavy loadYou are a trusted partner for distributed systems design and implementationOur tech stackWe build on a simple modern stack optimized for both humans and AI:Backend: TypeScript, Kotlin, 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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About Handshake AIHandshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired.Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale.This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.Now’s a great time to join Handshake. Here’s why:Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide.Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few.Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.About the RoleAs a Senior Research Engineer, you’ll play a leading role in designing and scaling the infrastructure, systems, and frameworks that power the next generation of LLM post-training and evaluation. You’ll work closely with research scientists to define methodologies, push the boundaries of data quality and benchmark design, and mentor other engineers to raise the technical bar across the team. This role is ideal for someone who thrives at the intersection of research and large-scale engineering, with the ability to translate complex research insights into robust, production-grade systems. You will: Architect, implement, and optimize large-scale post-training systems and data processing pipelines, ensuring reliability, scalability, and performance.Lead the development of next-generation LLM benchmarks and evaluation frameworks, defining standards for measuring advanced reasoning, alignment, and knowledge capabilities.Design and enforce rigorous methodologies for verifying data integrity and quality across highly specialized datasets.Drive software/hardware performance optimization to accelerate experimentation and deployment (e.g., memory usage, training throughput, distributed systems).Partner with cross-disciplinary teams—including research scientists, domain experts, and product engineers—to validate and productionize model improvements.Mentor junior engineers and shape technical best practices for the post-training and evaluation engineering pod.Influence long-term research engineering strategy by identifying opportunities to systematize evaluation and data quality at scale.Desired CapabilitiesAdvanced proficiency in Python with a track record of building clean, maintainable, and performant codebases.5+ years of experience in applied ML, large-scale distributed systems, or post-training infrastructure (RLHF, DPO, constitutional AI, etc.).Strong expertise with PyTorch and modern ML training frameworks; familiarity with distributed training and inference optimization.Proven experience designing and operating data pipelines, benchmark frameworks, or large-scale evaluation systems.Ability to drive technical projects end-to-end: from architecture design to implementation, scaling, and monitoring.Clear and confident communication skills; ability to collaborate across research and engineering disciplines and influence technical direction.Extra CreditExperience leading small teams or mentoring engineers.Track record of open-source contributions in ML infrastructure or evaluation frameworks.Publications or public talks in applied ML, evaluation, or systems research.Passion for building responsible AI systems and considering the societal/ethical implications of model evaluation.PerksHandshake delivers benefits that help you feel supported—and thrive at work and in life.The below benefits are for full-time US employees.🎯 Ownership: Equity in a fast-growing company💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching🍼 Family Support: Paid parental leave, fertility benefits, parental coaching💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend📚 Growth: $2,000 learning stipend, ongoing development💻 Remote & Office: Stipends for home office setup, internet, commuting, and free lunch/gym in our SF office🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days, winter #ShakeBreak where our whole office closes for a week!🤝 Connection: Team outings & referral bonusesExplore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

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As Scale AI continues its historic growth trajectory in the Generative AI sector, we are seeking a Growth Program Manager to helm initiatives that will significantly drive revenue and expansion. This demanding and multi-faceted role requires a unique blend of skills across strategy, operations, and analytics with the aim to catalyze rapid growth in a dynamic and evolving market. You will: Drive critical growth projects, collaborating with cross-functional teams including Engineering, Operations, and Go-to-Market. Develop and enhance growth strategies, funnels and pipelines to meet the needs of strategic customers and market demands. Oversee the growth operations, ensuring seamless execution and alignment with business objectives. Tackle some of the most pressing growth challenges, setting new standards for Scale AI's market presence in domain language. Ideally you'd have: 3-5 years of experience on growth, product, or operations, or as a SWE.  Prior experience with operations-heavy business models (e.g. on-demand, marketplace, logistics, supply chain) Strong technical background (a degree in STEM is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python). Excellent problem-solving capabilities and a robust analytical approach, with the ability to leverage data to inform growth strategies (experience working on operational challenges or as a consultant is a plus). An entrepreneurial and high-ownership mindset. You are comfortable handling ambiguity and leading workstreams from end-to-end This role is critical in ensuring that Scale AI not only maintains its current growth momentum but also accelerates it to capture an even larger market share in the Generative AI space. The ideal candidate will bring a wealth of experience, a deep understanding of growth mechanisms, and a track record of delivering results in high-stakes environments.Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$112,000—$140,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.