AI Product & Operation Jobs

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About Meeno Backed by Sequoia Capital, AI Fund & NEA, and founded by the former CEO of Tinder, Meeno helps people build real-world social courage through voice-based practice: 1-minute scenes, instant scoring, and personalized feedback. Not a dating app. Not a companion. Not therapy. IRL reps to help Gen Z meet people IRL.What You'll DoOwn the technical foundation of Meeno end-to-end: Web + mobile + backend + data + experimentationCo-design product vision in close partnership with Meeno’s team:Renate Nyborg, founder/CEO (former Tinder CEO, ex Apple/Headspace)Josh Knox, product lead (founder of Outright, brand and content expert)Andrew Ng, Chairman (AI Fund, founder of Coursera/Google Brain)Build core AI product primitives:Voice capture/playbackLow-latency interactionsScene framework (content + branching + scoring hooks)Feedback loops and user progressionPersonalizationArchitect for speed + iteration (weekly experiments, not quarterly releases).Set the engineering bar:Quality, reliability, security/privacy, and shipping culture.Hire and mentor engineers as we scale:Focus on quality over quantity, leveraging AI and talent to scale while staying lean.What We're Looking ForStrong builder who has shipped consumer products.Comfortable with ambiguity and moving fast without breaking the soul of the product.Product taste: you care about “feel,” not just functionality.Excited by voice, interaction design, and behavior change.Can operate like a founder: make tradeoffs, set direction, ship.Green flags (not requirements)Hyped about social connection, empathy for Gen Z loneliness.Early adopter of AI-driven development.Hungry for rapid career progression and societal impact.Experience with audio/voice pipelines, realtime systems, mobile performance.History of building unconventional projects (creative tech, experiments, indie builds).Interest in human behavior, social dynamics, and product psychology.You won't pass the vibe check if...You are not passionate about our mission.You only want to manage, not build.You need perfect specs to move.You optimize for process over product feel.You are not fun.What success looks like (first 6 months)Meeno has a stable foundation, and we can run rapid experiments.Our product feels fast, human, and culturally sharp.We have a pipeline of world-class engineering talent.We are well-positioned to raise Series A with clear signal on north star metrics.We are having fun. 180,000 - 220,000 a year

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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: At Crusoe, our Site Reliability Engineering team ensures the reliability and scalability of Crusoe’s AI-optimized cloud platform. We’re looking for an SRE with a strong background in distributed systems and hands-on experience with large language models to help us build and operate managed AI services at scale. This role is central to delivering highly available, performant, and cost-efficient AI infrastructure that powers compute-intensive, latency-sensitive workloads for our customers.What You’ll Work On:Design and operate reliable managed AI services with a focus on serving and scaling LLM workloadsBuild automation and reliability tooling to support distributed AI pipelines and inference servicesDefine, measure, and improve SLIs/SLOs across AI workloads to ensure performance and reliability targets are metCollaborate with AI, platform, and infrastructure teams to optimize large-scale training and inference clustersAutomate observability by building telemetry and performance tuning strategies for latency-sensitive AI servicesInvestigate and resolve reliability issues in distributed AI systems using telemetry, logs, and profilingContribute to the architecture of next-generation distributed systems purpose-built for AI-first environmentsWhat You’ll Bring:Strong software engineering background — experience building production-grade systems beyond scripting or BashDemonstrated experience in distributed systems design and implementationHands-on work with large language models (LLMs) or AI/ML infrastructureSRE mindset and experience (whether or not under the SRE title) including:Defining and measuring SLIs/SLOsBuilding monitoring and observability systemsDriving performance and reliability improvementsDesigning fault-tolerant systems and automated testing strategiesProficiency in at least one modern programming language (Python, Go, Java, C++)Familiarity with Kubernetes or container orchestration platformsStrong collaboration and communication skillsAbility to thrive in a fast-paced, mission-driven environmentBonus Points:Experience scaling inference or training workloads for LLMsBenefits:Industry 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 accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(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 per monthCompensation:Compensation will be paid in the range of $204,000 - $247,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, 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 Loop Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100. We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly. Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy. About the New Grad Program Most AI stays in the browser. Ours moves atoms. You aren't just building features; you are building the autonomous brain for the Fortune 100’s global supply chain. This program is designed to compress 3 years of learning into 1 year by throwing you into the deep end of production AI systems on Day 1. Instead of sandboxed projects, you get to solve real problems and impact customers directly. This program demands intense investment, but by the end, you will perform as a strong entry-level engineer jumpstarting your career. The Schedule: Week 1 (Onboarding): Deep dive into tools and domain. You will ship code to production on Day 1 and fully grasp our dev loop by Friday. Months 1-3 (Velocity): You will deliver 3 entry-level projects with increasing ambiguity. By the end of Month 3, you are expected to operate as a fully independent engineer. Months 4-9 (The Rotation): You will rotate onto a different high-impact team to expand your surface area. Tracks include: Platform: AI infrastructure and Engineering Systems. Core Product: Audit, Billing, and Payments logic. Commercial: Revenue Activation and Forward Deployed Engineering. Special Projects: Partnering directly with the CEO/CTO and other execs Month 9+ (Graduation): You should demonstrate Mid-Level Engineer performance and will be considered for immediate promotion.   About You We are not looking for just “straight-A students." We are looking for obsessive builders with spikes. If the following resonates, you belong here: You build on nights and weekends. You have a repo, a side hustle, or a project you built just because you were curious. You don't wait for class assignments to write code.You hate waiting for approval. You prefer to ship, break, fix, and apologize rather than wait for a committee decision.You are bored by easy tasks. You want problems that are more than 1 prompt away from a solution. You grind to win. You are the type to skip social events just to climb the Esports ladder, ace a math competition, or debug a complex issue—purely for the joy of mastery. Responsibilities Ship critical infrastructure. Manage real-world logistics and financial data for the largest enterprise in the world..  Own the why. Build deep context through customer calls, and understand the Loop’s value to our customers. You push back on requirements if you see a better, faster way to solve the customer’s problem. Full-stack proficiency. Work across system boundaries, from frontend UX to LLM agents, database schema and event infrastructures. Leverage AI tools to handle the 90% boilerplate, so you can focus the highest leverage 10%: quality, architecture, product taste. Raise the velocity bar. You will constantly optimize our dev loops, refactor legacy patterns, automate your own workflows and fix broken processes. Qualifications Graduating with a BS or higher in STEM fields; available to start full-time in 2026. Working in person in the SF, Chicago, or NYC office 4 days a week. Proficiency with modern techstack. You can deliver a modern web app in hours not in days.. Unblocking yourself. You thrive in ambiguity. Despite the chaos, you deliver high quality products and business impact. AI Literate. You have strong intuition on how LLM works: where they excel and where they generate slop. You live and breathe AI native tools (Cursor, Codex, Claude Code etc.) Compensation $150,000 annual base pay Benefits & Perks Fully paid health insurance. 401k with matching. Unlimited PTO. Generous professional development budget. Commuter benefits. Wellness benefits Phone plan stipend

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About Loop Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100. We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly. Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy. About the New Grad Program Most AI stays in the browser. Ours moves atoms. You aren't just building features; you are building the autonomous brain for the Fortune 100’s global supply chain. This program is designed to compress 3 years of learning into 1 year by throwing you into the deep end of production AI systems on Day 1. Instead of sandboxed projects, you get to solve real problems and impact customers directly. This program demands intense investment, but by the end, you will perform as a strong entry-level engineer jumpstarting your career. The Schedule: Week 1 (Onboarding): Deep dive into tools and domain. You will ship code to production on Day 1 and fully grasp our dev loop by Friday. Months 1-3 (Velocity): You will deliver 3 entry-level projects with increasing ambiguity. By the end of Month 3, you are expected to operate as a fully independent engineer. Months 4-9 (The Rotation): You will rotate onto a different high-impact team to expand your surface area. Tracks include: Platform: AI infrastructure and Engineering Systems. Core Product: Audit, Billing, and Payments logic. Commercial: Revenue Activation and Forward Deployed Engineering. Special Projects: Partnering directly with the CEO/CTO and other execs Month 9+ (Graduation): You should demonstrate Mid-Level Engineer performance and will be considered for immediate promotion.   About You We are not looking for just “straight-A students." We are looking for obsessive builders with spikes. If the following resonates, you belong here: You build on nights and weekends. You have a repo, a side hustle, or a project you built just because you were curious. You don't wait for class assignments to write code.You hate waiting for approval. You prefer to ship, break, fix, and apologize rather than wait for a committee decision.You are bored by easy tasks. You want problems that are more than 1 prompt away from a solution. You grind to win. You are the type to skip social events just to climb the Esports ladder, ace a math competition, or debug a complex issue—purely for the joy of mastery. Responsibilities Ship critical infrastructure. Manage real-world logistics and financial data for the largest enterprise in the world..  Own the why. Build deep context through customer calls, and understand the Loop’s value to our customers. You push back on requirements if you see a better, faster way to solve the customer’s problem. Full-stack proficiency. Work across system boundaries, from frontend UX to LLM agents, database schema and event infrastructures. Leverage AI tools to handle the 90% boilerplate, so you can focus the highest leverage 10%: quality, architecture, product taste. Raise the velocity bar. You will constantly optimize our dev loops, refactor legacy patterns, automate your own workflows and fix broken processes. Qualifications Graduating with a BS or higher in STEM fields; available to start full-time in 2026. Working in person in the SF, Chicago, or NYC office 4 days a week. Proficiency with modern techstack. You can deliver a modern web app in hours not in days.. Unblocking yourself. You thrive in ambiguity. Despite the chaos, you deliver high quality products and business impact. AI Literate. You have strong intuition on how LLM works: where they excel and where they generate slop. You live and breathe AI native tools (Cursor, Codex, Claude Code etc.) Compensation $150,000 annual base pay Benefits & Perks Fully paid health insurance. 401k with matching. Unlimited PTO. Generous professional development budget. Commuter benefits. Wellness benefits Phone plan stipend

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About P-1 AI:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world. Our first product is Archie, an AI engineer capable of quantitative intuition over physical product domains and engineering tool use. Archie initially performs at the level of an entry-level design engineer but rapidly gets smarter and more capable. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).About the role: We’re a small team tackling an ambitious problem. At the core of our solution is an intelligent, agentic platform that acts as a tireless teammate which can perform all of the same actions that human engineers can, from developing an intuition about the company’s products and the physics at play in their design, to accessing and using information systems, to decomposing performance requirements and developing them into design solutions. Archie must be scalable, responsive, and competent, and must also be deployable within the corporate networks of our customers so that he can see their most valuable information and do his job well.Our Senior SWE for the Agentic AI Platform will design and implement solutions for these challenges, which range from classic distributed systems, integration, and security work, to robustly implementing advanced intelligence features developed by our AI research team. Ownership comes by default, but as Archie becomes more sophisticated we also have potential growth into technical leadership for specific specialty areas.This role can be either remote (based in US or Canada and with existing work authorization) or based in our San Mateo Bay Area office. If you are remote, you should plan to spend one week out of six co-working with the rest of the company in our San Mateo office. We will support relocation for candidates interested in moving to the Bay Area.Why this role:This role is where AI meets reality. Every user that works with Archie will be using features and capabilities that you have built, no matter the industry or context.What you’ll do:Work with our team to understand our Archie capability roadmap and decompose capabilities into technical development.Turn capability prototypes and PoCs from our AI research team into robust, scalable implementations.Diagnose and solve technical problems identified by our team or users.Develop and act on automated platform tests, including traditional software testing, agentic AI evals, and infrastructure.Improve Archie’s scalability and robustness through system architecture design and implementation.Who you are:You’ve consistently taken technical ownership of production-grade software.You’re experienced with application development in Python.You’ve built and implemented data models and database interactions.You develop an obsession with understanding your users’ goals and incorporating this knowledge into your solutions.Take pride in developing quality code and practices.Are aggressively seeking ways to use AI better in your own workflows.Our values:Mission obsession & urgency: We are obsessed with building engineering AGI as quickly as possible. We also recognize that as a startup, speed is our most precious competitive advantage. We are constantly asking ourselves what we can do to go faster. We make tradeoffs and sacrifices (personally and in the workplace) in exchange for speed.Intellectual excellence & curiosity: We ask “what if?” and experiment liberally. We always look for better ways of doing something. We read voraciously. We challenge each other to be better. We surround ourselves with A players and we actively and unapologetically reject B players (and even B+ players⸺because they tend to surround themselves with C players).Shipping discipline: We treat production with respect. We test and demo our product constantly. We listen attentively to our customers, users, and stakeholders, and we respect our commitments to them. We also respect our commitments to each other and will go the extra mile (or ten or one hundred) to honor them.Ownership: We all have significant ownership stakes in the company and operate in founder mode. We believe in hierarchical requirements but not in hierarchical information flows. If we see that something is broken or can be done better, we flag it and we fix it. We encourage each other to play with and fix anything and everything... but there’s a clear owner for everything.Interview process:Initial screening call (30 mins)Biographical/behavioural interview (45 mins)Technical interview (60 mins)CEO interview (30 mins)Compensation:Salary: $200k - $250k.This role includes a significant equity component. We are an early-stage startup, so we favor equity over cash in our current compensation philosophy. This role is best suited for candidates who value long-term ownership and impact over short-term cash optimization. Our benefits include healthcare, dental, and vision insurance, 401k with employer matching, unlimited PTO.

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About Liquid AISpun out of MIT CSAIL, we build AI systems that run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there.The OpportunityThis is a rare chance to sit at the intersection of frontier foundation models and real-world deployment. You’ll own applied post-training work end-to-end for some of the world’s largest enterprises, while still contributing directly to Liquid’s core model development. Unlike most roles that force a trade-off between customer impact and foundational work, this role gives you both: deep ownership over how models are adapted, evaluated, and shipped, and a direct line into the evolution of Liquid’s post-training stack. If you care about data quality, evaluation, and making models actually work in production, this is a chance to shape how applied AI is done at a foundation-model company.What We're Looking ForWe need someone who:Takes ownership: Owns post-training projects end-to-end, from customer requirements through delivery and evaluation.Thinks end-to-end: Can reason across data generation, training, alignment, and evaluation as a single system.Is pragmatic: Optimises for model quality and customer outcomes over publications or theory.Communicates clearly: Can translate between customer needs and internal technical teams, and push back when needed. The WorkAct as the technical owner for enterprise customer post-training engagements.Translate customer requirements into concrete post-training specifications and workflows.Design and execute data generation, filtering, and quality assessment processes.Run supervised fine-tuning, preference alignment, and reinforcement learning workflows.Design task-specific evaluations, interpret results, and feed learnings back into core post-training pipelines.Desired ExperienceMust-have:Hands-on experience with data generation and evaluation for LLM post-training.Experience training or fine-tuning models using SFT, preference alignment, and/or RL.Strong intuition for data quality and evaluation design.Familiarity with alignment or RL techniques beyond basic supervised fine-tuning.Nice-to-have:Experience contributing to shared or general-purpose post-training infrastructure.Prior exposure to customer-facing or applied ML delivery environments.Familiarity with alignment or RL techniques beyond basic supervised fine-tuning.What Success Looks Like (Year One)Independently owns and delivers enterprise post-training projects with minimal oversight.Is trusted by customers as the technical owner, demonstrating strong judgment and delivery quality.Has made durable contributions to Liquid’s general-purpose post-training pipelines by feeding applied learnings back into baseline model development.What We OfferCompensation: Competitive base salary with equity in a unicorn-stage companyHealth: We pay 100% of medical, dental, and vision premiums for employees and dependentsFinancial: 401(k) matching up to 4% of base payTime Off: Unlimited PTO plus company-wide Refill Days throughout the year

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalisation capabilities and strong robustness against adversarial attacks. The day-to-day You will develop ML/AI that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios. You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems. You should apply if you Hold an MSc in artificial intelligence, machine learning, computer science or a related field with experience in conceptualising, implementing, and thoroughly evaluating advanced AI-based systems. Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally. Are passionate about keeping up-to-date with current research and enjoy reimplementing / extending papers on state-of-the-art Deep Learning-based approaches. Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring. Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to have PhD in artificial intelligence, machine learning, computer science, or related field and have authored publications in top-tier journals and conferences (eg, CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS). Designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources and led their end-to-end product delivery. Experience with simulators, emulators, or synthetic data generators. Join Helsing and work with world-leading experts in their fields Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.  The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.  Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.  In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.   We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.  What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “AI-duction”), in which you will be familiarising yourself with our tools and ML pipelines used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other AI and engineering teams from day one Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.       Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalisation capabilities and strong robustness against adversarial attacks. The day-to-day You will develop ML/AI that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios. You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems. You should apply if you Hold an MSc in artificial intelligence, machine learning, computer science or a related field with experience in conceptualising, implementing, and thoroughly evaluating advanced AI-based systems. Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally. Are passionate about keeping up-to-date with current research and enjoy reimplementing / extending papers on state-of-the-art Deep Learning-based approaches. Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring. Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to have PhD in artificial intelligence, machine learning, computer science, or related field and have authored publications in top-tier journals and conferences (eg, CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS). Designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources and led their end-to-end product delivery. Experience with simulators, emulators, or synthetic data generators. Join Helsing and work with world-leading experts in their fields Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.  The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.  Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.  In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.   We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.  What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “AI-duction”), in which you will be familiarising yourself with our tools and ML pipelines used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other AI and engineering teams from day one Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.       Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalisation capabilities and strong robustness against adversarial attacks. The day-to-day You will develop ML/AI that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios. You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems. You should apply if you Hold an MSc in artificial intelligence, machine learning, computer science or a related field with experience in conceptualising, implementing, and thoroughly evaluating advanced AI-based systems. Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally. Are passionate about keeping up-to-date with current research and enjoy reimplementing / extending papers on state-of-the-art Deep Learning-based approaches. Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring. Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to have PhD in artificial intelligence, machine learning, computer science, or related field and have authored publications in top-tier journals and conferences (eg, CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS). Designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources and led their end-to-end product delivery. Experience with simulators, emulators, or synthetic data generators. Join Helsing and work with world-leading experts in their fields Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns.  The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world.  Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward.  In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.   We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about.  What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “AI-duction”), in which you will be familiarising yourself with our tools and ML pipelines used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other AI and engineering teams from day one Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.       Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Replicant is the industry leader in voice AI for customer service since it was founded in 2017. When you dial the customer service number of one of our customers–like AAA or Fanatics – our bot answers the phone. Over 50% of callers do not even need to talk to a human, and they rate the interaction higher than if they did so. We do this with AI that feels human, scales securely, and delivers real business results. We are backed by top tier Silicon Valley investors and growing rapidly. We are based mostly in the SF Bay Area, Toronto, and New York, and much of our team is distributed throughout other parts of the US and Canada.Joining Replicant means working on technology that makes customer service both better and cheaper, for a gigantic market of millions of potential customers. We solve huge challenges with a small team, so every improvement you will ship makes a huge difference.We’re looking for a Full Stack Software Engineer to join Replicant’s engineering team! As part of our team, you’ll design and deliver technology that powers natural, human-like conversations at scale, helping companies reduce wait times, improve customer satisfaction, and empower representatives to focus on complex problems. You’ll build rich user experiences and backend services that enable customers to design, launch, and monitor these AI-powered conversations. You’ll collaborate closely with our product and machine learning teams to ensure our customers can build compelling and delightful conversations for their callers. Our stack includes TypeScript, Node.js, React, and Python in Kubernetes on GCP.What You’ll DoBuild new features powering millions of daily conversations on Replicant’s core AI voice and chat productsShip full stack end-to-end features with high impact in days, not weeks or monthsIntegrate automatic speech recognition, text to speech, and conversational AI model improvements into Replicant’s productsRefractor, optimize, and debug production systems balancing latency, cost, and user delightParticipate in regular on-call rotations, monitoring live production systemsContinuously improve systems based on performance metrics and customer feedbackShape a fast-moving culture that emphasizes knowledge sharing and mentorship across distributed systems, high-availability design, and user experience for enterprise-scale AIParticipate in team and company-wide office events; travel requiredWhat You'll Bring5+ years of full-stack software engineering experience, ideally in SaaS, AI, or complex real-time systemsProven experience owning and shipping elegant, maintainable, continuously improving solutions that scale to millions of usersHistory of raising the bar for great engineering in your teams, with strong collaboration skills favoring impact over processStrong communication skills that build trust with teammates and stakeholdersMastery of AI tools for writing, improving, debugging, and refactoring large code basesDemonstrated experience designing and implementing quality testing for systems you’ve built, including automated, manual, and AIMastery of one or more of the followingTypeScript and frontend frameworks (React or similar)Node.Js for production-grade backend systemsPythonRust, LLM prompt engineering, Google Cloud Services, KubernetesFamiliarity with all of the followingRelational databases (MySQL, PostgreSQL)Cloud environments (AWS, GCP, or Azure) and CI/CD pipelinesMetrics, logging, and monitoringEnthusiasm for AI, machine learning, telephonyFor all full-time employees, we offer:🌴 In-person connection that counts: company-wide offsites and smaller team gatherings designed to make remote work feel personal🖥️ Tech & learning stipend: Conferences, books, courses — interested? We’ll fund them📍 Remote by design: We’re distributed — no guilt about life events, we trust you to manage your calendar🏋️ Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits, plus a stipend to support your physical and mental well-being💸 Compensation that matches your impact: competitive salaries in the company you’re helping to build📈 Equity with upside: We believe in shared ownership—You’ll own a real piece of a fast-growing AI companyOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

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We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. #LI-Remote Plaid’s Machine Learning team is building models that improve how millions of users understand and grow their financial lives. We're looking for machine learning engineers with experience applying state-of-the-art machine learning and modeling techniques -- including natural language processing, anomaly detection, optimization, and time series forecasting -- toward different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork. You’ll be a machine learning engineer as a part of the core ML payments team, contributing to diverse, high-impact machine learning challenges. Specifically, you will focus on designing, building and deploying scalable ML solutions and systems. You will lead the efforts to experiment with new modeling approaches and strategies, as well as collaborating closely with a skilled team of engineers on ingesting signals and productionizing these models. If you're interested in building the state of art AI/ML solutions to unblock financial freedom for everyone, let's chat!ResponsibilitiesBuild with impact. Your work will empower millions of users through well-known and emerging Fintech Applications with access to financial services.Experiment with cutting edge ML modeling techniques.Work on both 0-1 stage problems as well as 1-10.Develop AI/MLmodels in a full life cycle, from offline training to online serving and monitoring. Collaborate with teams across Plaid to define ML roadmap.Dive deep into data and apply data driven decisions in day-to-day work.A high ownership, bottom-up driven team.Qualifications5+ years in training and serving AI/ML models in a production environment.Experience in building/working with data intensive backend applications in large distributed systems.Ability to code and iterate independently on top of data infrastructure tools like Python, Spark, Jupyter notebooks, standard ML libraries, etc.Take pride in taking ownership and driving projects to business impact.Data analytics and data engineering experience is a plus.Experience with the industry application of NLP is a plus. Experience with the FinTech industry is a plus. Ability to work with technical and non-technical teamsMaster's degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field. 225,600 - 337,200 a yearThe target base salary for this position ranges from $225,600/year to $337,200/year in Zone 1. The target base salary will vary based on the job's location.  Our geographic zones are as follows:Zone 1 - New York City and San Francisco Bay AreaZone 2 - Los Angeles, Seattle, Washington D.C.Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San DiegoZone 4 - Raleigh-Durham and all other US cities Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com. Please review our Candidate Privacy Notice here. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com. Please review our Candidate Privacy Notice here.

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The Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems. As a software engineer on the perception mapping team, you will be a key contributor to Zoox’s online mapping initiative. You will design, train, validate, and integrate into the stack ML models that detect semantic map elements in the world. Your work will touch on all aspects of ML development, including data gathering, labeling, training, validation, and onboard integration. Your work will enable important milestones to scaling and autonomy capabilities and will be critical to the success of Zoox.In this role, you will: Curate, validate, and label datasets for model training and validationResearch, implement, and train ML models to perform semantic map element detectionClosely collaborate with validation teams to formulate and execute model validation pipelinesIntegrate models into the greater onboard autonomy system within compute budgetsBe a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisionsQualifications:MS or PhD or equivalent experience (5+ years) in Computer Science or related fieldExperience in computer vision or roboticsExperience with training and deploying deep learning modelsExperience with with Python libraries (pytorch, numpy)Bonus Qualifications: Experience with C++Experience with CUDA and/or GPU programmingExperience with mapping related ML techniques 189,000 - 227,000 a yearBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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

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AI at ZapierAt Zapier, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently.Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to.Hi there!Zapier is hiring for an Applied AI Engineer to help us build the future of automation with AI at its core. If you care about shipping real products, solving hard problems with large language models, and creating tools that help others build faster—this is your kind of role.We’re hiring acrossteams, each with their own flavor of AI work. You’ll work on things like shared libraries, evaluation systems, orchestration patterns, or user-facing features—depending on the team. What they all have in common: you’ll ship to production, own meaningful problems, and make an impact across the company.Even though our job description may seem like we're looking for a specific candidate, the role inevitably ends up tailored to the person who applies and joins. Regardless of how well you feel you fit our description, we encourage you to apply if you meet these criteria:About YouYou have 5+ years of experience in software engineering, with at least 3 of those years dedicated to building distributed, scalable cloud based web applications. You possess strong communication skills, problem-solving abilities, and a drive to deliver outstanding customer experiences for both external users and internal stakeholders.You have at least 1 year of experience working with large language models (LLMs) to perform complex tasks in production environments. You experimented with build user facing leveraging agent architectures.You’re familiar with underlying technologies like transformer networks, attention mechanisms, and how they contribute to models’ abilities to generate coherent responses, generate function calls, and perform other language tasks.You have likely deployed evaluation frameworks for LLMs, with an understanding on performance, reliability, and bias assessment.You likely have experience with Retrieval-Augmented Generation (RAG) systems and understand how to optimize knowledge retrieval for improved model accuracy and speed. You likely have experience with different indexing and chunking strategies based on the system’s data and goals, as well as semantic search and vector databases, and how they differ from traditional retrieval methods and databases.You have experience of working through the full lifecycle of building, testing, deploying, and scaling LLM architectures.You can identify and document trade-offs made during the development process. You also have experience building with cloud infrastructure technologies.You love shipping to customers. You’ll be on a team focused on understanding customers' needs and translating those needs from specifications into functional, production-ready code. You know how to balance speed versus quality to support the features we build for our customers.You embody our values. At Zapier, our values are at the heart of how we work together and how we think about our customers. In our remote setting, they help develop trust and ensure we work and collaborate to democratize automation.Things You’ll DoYou understand that AI-based applications thrive on data-driven feedback loops, which will be central to any system you develop. These loops will capture and instrument user data, synthesize core use cases, and implement/test strategies with LLMs to enhance performance.You will be responsible for integrating LLMs into software products at Zapier, which will include setting up the necessary infrastructure to ensure performance, scalability, and reliability.You will work mostly in Python or TypeScript. Experience isn’t strictly required, but it is a big plus. Comfort with typed languages and modern backend practices is a must.You will build tooling and infrastructure that enables teams to iterate on AI products faster, without sacrificing safety or reliability.You will improve the state of cost observability across all teams, and work with individual teams to optimize spend for their products.You will monitor the performance and health of AI systems, proactively detecting and addressing issues such as system failures and performance degradation.You will collaborate with Data and cross-functional teams to refine and deploy LLM-based features.If you’re interested in advancing your career at a fast-growing, profitable, impact-driven company, then read on…Our Commitment to ApplicantsCulture and Values at ZapierZapier Guide to Remote WorkZapier Code of ConductDiversity and Inclusivity at ZapierDifference between an Applied AI Engineer and an ML Engineer at Zapier:How do we discern between other AI-forward engineering roles like ML Engineers and Applied AI Engineers? Both roles benefit from backend engineering skills and experience with LLMs.ML engineers are expected to have more experience building data pipelines as well as experience utilizing other types of ML models beyond LLMs.AI engineers are expected to have more full stack engineering experience, which would typically include frontend experience, and may only have experience working with LLMs.How to ApplyAt Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional. Education is not a requirement for our roles; however, if you receive an offer, you will need to include your most recent educational experience as part of our background check process.After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!Zapier is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Zapier does not discriminate based on someone's identity in any aspect of hiring or employment as required by law and in line with our commitment to Diversity, Inclusion, Belonging and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Zapier will consider all qualified applicants, including those with criminal histories, consistent with applicable laws.Zapier prioritizes the security of our customers' information and is dedicated to adhering to all applicable data privacy laws. You can review our privacy policy here. Zapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact jobs@zapier.com. Application Deadline: The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled.Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.Application Deadline:The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled.Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.

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About the TeamThe Consumer Products Research team is an Applied Research team focused on developing new methods and models to support our vision for the future of computing as we advance forward in our mission of building AGI that benefits all of humanity. About the RoleAs a Research Engineer/Scientist on the Consumer Products Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities.This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees. In this role you will:Train and evaluate SoTA models along axis that are important to our vision for future devices.Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of.Help define how software works for decades to come.You might thrive in this role if you:Have a research background in utilizing and training language models to generate UI, and developing recipes to evaluate the quality / applicability of UI generated.Love exposure to a bit of everything – we’re collaborators with a hugely diverse set of research.Do rigorous science (rather than vibes based). We need confidence in the experiments we run to move quickly.Have already spent time in the weeds teaching models to speak and perceive.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 the TeamThe Consumer Products Research team is an Applied Research team focused on developing new methods and models to support our vision for the future of computing as we advance forward in our mission of building AGI that benefits all of humanity. About the RoleAs a Research Engineer/Scientist on the Consumer Products Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities.This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees. In this role you will:Train and evaluate multimodal SoTA models along axis that are important to our vision for future devices.Develop novel architectures that improve model performance when scaling the models themselves is not an option.Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of.You might thrive in this role if you:Have a research background in adapting transformers to run in environments with significantly less compute than traditional GPUs and datacenter accelerators.Love performance optimization and working with GPU kernel engineers (but you do not need CUDA experience yourself).Do rigorous science (rather than vibes based). We need confidence in the experiments we run to move quickly.Have already spent time in the weeds teaching models to speak and perceive.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 the TeamOpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.About the RoleWe’re looking for a RTL Engineer to design and implement key compute, memory, and interconnect components for our custom AI accelerator. You’ll work closely with architecture, verification, physical design, and ML engineers to translate AI workloads into efficient hardware structures. This is a hands-on design role with significant ownership across definition, modeling, and implementation.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.ResponsibilitiesProduce clean, production-quality microarchitecture and RTL for major accelerator subsystemsContribute to architectural studies including performance modeling and feasibility analysis.Collaborate with software, simulator, and compiler teams to ensure hardware/software co-design and workload fit.Partner with DV and PD to ensure functional correctness, timing closure, area/power targets, and clean integration.Build and review performance and functional models to validate design intent.Participate in design reviews, documentation, and bring-up support across the full silicon lifecycle.You Might Thrive In This Role If You Have:Graduate-level research or industry experience in computer architecture, AI/ML hardware–software co-design, including workload analysis, dataflow mapping, or accelerator algorithm optimization.Expertise writing production-quality RTL in Verilog/SystemVerilog, with a track record of delivering complex blocks to tape-out.Experience developing hardware design models or architectural simulators, ideally for AI/ML or high-performance compute systems.Familiarity with industry-standard design tools (lint, CDC/RDC, synthesis, STA) and methodologies.Ability to work cross-functionally with architecture, ML systems, compilers, and verification teams.Strong problem-solving skills and ability to think across abstraction layers, from algorithms to circuits.Passion for building industry-leading massive-scale hardware systems.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 Peak HealthPeak Health is a longevity-focused digital health company building technology to help people live longer, healthier lives through proactive, continuous care.Instead of reactive, episodic healthcare, Peak Health focuses on long-term health optimization — combining modern medicine, data, and software to support prevention, early intervention, and personalized care over time. Their platform connects patients, clinicians, and care teams through intelligent workflows that make longevity care scalable, measurable, and actionable.Role OverviewWe are looking for a Senior Full-Stack Engineer (Backend-leaning) to join Peak Health’s engineering team and help build core patient- and provider-facing experiences.This role has a strong backend emphasis, while still owning meaningful frontend and system responsibilities. You’ll work on mission-critical workflows, ship production-grade features end-to-end, and collaborate closely with Product, Design, and other Engineers.You’ll also play a key role in building AI-powered features, ensuring they are reliable, observable, and safe for use in real healthcare contexts.Role ResponsibilitiesShip production-grade backend and frontend features for core member and provider flows using React, TypeScript, APIs, and data layers, with high polish and reliability.Own features end-to-end: spec → build → test → deploy → monitor, including handling complex state, permissions, and edge cases.Build and maintain robust system hygiene: instrumentation, dashboards and alerts, CI/CD pipelines, code reviews, and production debugging.Design, implement, and maintain AI-powered workflows, including:Tool/function callingStructured outputsRetrieval-Augmented Generation (RAG)Evals, tracing, and observability (e.g., LangSmith, Helicone)Prompt versioning and guardrailsBuild and operate workflow / agent “flows” using orchestration patterns similar to Temporal, Dagster, or Airflow, including retries, idempotency, async job queues, and failure handling.Collaborate closely with cross-functional partners to deliver reliable, scalable, and user-centric healthcare products.Required SkillsStrong experience building consumer-grade backend applications (this is the most important requirement).Advanced proficiency with React and TypeScript.Experience building and maintaining backend APIs and data flows.Proven ability to own features end-to-end in production environments.Strong understanding of systems reliability, observability, and operational debugging.Experience working with modern LLM tooling, including:Tool/function callingRAG architecturesStructured outputsTracing, evals, and observabilityComfort working with asynchronous systems, job queues, retries, and orchestration patterns.Strong product mindset and ability to balance speed, quality, and real-world impact.Desirable SkillsExperience in healthcare, healthtech, or regulated environments.Familiarity with workflow orchestration frameworks (Temporal, Dagster, Airflow, or similar).Prior experience building AI-driven user-facing products.Exposure to data instrumentation, metrics, and monitoring at scale.Strong collaboration skills and comfort working in small, high-ownership teams.Experience working remotely with distributed teams.

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LandingAI is a leader in Agentic Document Intelligence. Our flagship solution, Agentic Document Extraction (ADE), replaces traditional OCR with layout-aware AI system that parses complex documents without the need for rigid templates. By providing visual grounding for full auditability, ADE enables high-stakes industries like financial services and healthcare to extract valuable data and to automate critical workflows with unmatched accuracy. In addition to document intelligence, we offer the LandingLens™ platform for vision-AI anchored computer vision applications including inspection, defect detection and robotics. About the Role: As a Software Engineer at LandingAI, you will build and maintain core web applications and services that power our AI-driven products. While you will not be responsible for developing machine learning models, you will work very closely with ML engineers to integrate ML capabilities into scalable, reliable, and user-friendly software systems. This role sits at the intersection of software engineering and applied AI, enabling ML innovations to reach customers through high-quality products.Key Responsibilities:Design, develop, and maintain web applications and backend services that integrate ML-powered features.Collaborate closely with Machine Learning Engineers and Product Managers to understand ML system requirements and translate them into robust software solutions.Build reliable, scalable, and low-latency services that support ML inference, data workflows, and AI-driven user experiences.Use LLMs to build scalable and reliable AI agents.Own the full software development lifecycle: design, implementation, testing, deployment, monitoring, and maintenance.Ensure high standards for code quality, testing, observability, and operational excellence.Troubleshoot production issues and participate in on-call or support rotations when needed.Mentor junior engineers and contribute to technical best practices across teams.Act as a strong cross-functional partner between product, engineering, and ML teams.Required Qualifications:Minimum of 5 years of professional experience in software engineering.Advanced skills in Python, web backend development, and building AI agents.Knowledge of containerization tools (Docker, Kubernetes) or cloud platforms (AWS, GCP).In-depth understanding of web application architecture and API design principles.Proven experience integrating with external services or intricate backend systems.Experience working with LLMs to develop AI agents that are scalable and reliable.Experience evaluating and benchmarking AI products.Demonstrated ability to work autonomously, showing high ownership and accountability.Excellent communication skills and experience collaborating effectively with diverse, cross-functional teams.Flexibility to adjust working hours to accommodate the needs of a global team.Experience using AI Coding Agents like Claude Code to develop reliable, scalable and high quality code.Valuable / Bonus Qualifications:Experience with ML frameworks like PyTorch.Experience with serving ML models and LLMs (vLLM).Experience collaborating with Machine Learning (ML) or data teams.Familiarity with ML concepts, including inference, model serving, latency considerations, and data pipelines.Experience utilizing PostgreSQL, Object-Relational Mappers (ORMs), ETL pipelines.Experience developing developer-facing tools or internal platform solutions.LandingAI Benefits: Stock Options – We want you to share in our success with equity grants.Comprehensive Healthcare – Medical, dental, and vision coverage for you and your dependents.*Wellness Stipend – Support for your health and well-being, whether it’s fitness programs or self-care.*Lifelong Learning – An education stipend to help you grow and keep learning.Generous PTO – We know life happens outside of work, and we want you to enjoy it.*Global Team & Fun Events – Work with amazing colleagues across North America, Latin America, and Asia, and connect through virtual and in-person events.*Benefits may vary based on your country of employment. We deeply value true leadership, ownership, and an entrepreneurial mindset. We appreciate people who take pride in their work, follow through on commitments, and turn ideas into results.If this sounds like you, then you’ll feel right at home with us — and we’d love to connect.

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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. 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. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact. Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. However, the AI graveyard is full of great ideas nobody could measure or prototypes that never made it to production. As a first Evaluation Engineer, you'll design the methodology, build the infrastructure, and define what "ready for production" means across verticals and use cases. You will design and implement evaluation systems that help our customers understand model performance across their specific use cases, build robust evaluation infrastructure, and work closely with both research and customer-facing teams. Research builds evals for frontier capabilities but customers don't care about MMLU scores. We need in Applied AI evals and frameworks for customer reality domain-specific, risk-aware, production-grade. The kind that tell you whether your medical summarization model will hallucinate drug interactions, or whether your legal assistant will invent case citations. This role sits at the intersection of research, engineering, and solutions, you will play a critical cross role in measuring, understanding, and improving the capabilities of our models for our enterprise customers. What you will do - Design and implement comprehensive evaluation frameworks to measure LLM capabilities across diverse customer use cases, including text generation, reasoning, code, and domain-specific applications- Build scalable evaluation infrastructure and pipelines that enable rapid, reproducible assessment of model performance- Develop novel evaluation methodologies to assess emerging capabilities or verticalized use cases (cybersecurity, finance, healthcare, etc.) and enable the Solutions (Deployment Strategist and Applied AI) on these topics.- Create custom evaluation suites tailored to enterprise customers' specific needs, working closely with them to understand their requirements and success criteria- Collaborate with research teams to translate evaluation insights into model improvements and training decisions- Partner with product teams to continuously improve our evaluation tooling based on customer feedback How We Work in Applied AI - We care about people and outputs. - What matters is what you ship, not the time you spend on it- Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.- Always ask why. The best solutions come from deep understanding, not from copying what worked before- We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards.- We embrace an unstructured environment and find joy in it. About you - You are fluent in English- 3+ years of experience in ML evaluation, benchmarking for LLM or agentic systems- You have proven experience in AI or machine learning product implementation with APIs, back-end- You have deep understanding of concepts and algorithms underlying machine learning and LLMs- You have strong technical coding skills in Python- You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences Ideally you have: - Contributions to open-source evaluation frameworks (e.g., LM Eval Harness, OpenAI Evals) or published research on LLM evaluation- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager- Experience with ML frameworks (PyTorch, HuggingFace Transformers) Benefits 🏝️ PTO: The CDI contract will be a "Forfait 218 jours", corresponding to 25 days of holidays and on average 8 to 10 days of RTT days, and complete autonomy on working hours⚕️ Health : Full health insurance coverage for you and your family🚗 Transportation : We offer a €600 annual mobility allowance. This package covers 50% of your public transportation costs and includes the Sustainable Mobility Allowance (FMD), encouraging eco-friendly travel options such as cycling or carpooling.🥕 Food : Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company🏀 Sport : Gymlib - sponsorship by Mistral of a significant part of the monthly fee (depending on the program you chose)🐤 Parental policy : 4 additional weeks for parents on top of what is offered by the French state.