AI Data Science & Analytics Jobs

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

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AnythingAnything is the AI product engineer for the next wave of entrepreneurs. It's an AI agent that turns English into apps. Everything you need make money on the internet built in - mobile, web, design, AI, backend, infra, payments. Launched Aug 7th. https://x.com/anything Hit $5m rev and growing quickly Try it at anything.comRoleWhat this role isThis role is for people who want to grow faster than they could anywhere else. You will work on real AI systems from day one and take ownership of meaningful product work. You will tackle challenging problems, learn new tools constantly, and operate in an environment where speed, ambition, and personal growth are core expectations. You will be supported by senior engineers but trusted to figure things out, push through ambiguity, and build systems that reach millions of users. This is a place for people who want to develop world class skills early in their career.You will be expected to move fast with clarity–reasoning through tradeoffs, writing things down when helpful, and choosing solutions that fit the broader system.How you will operateBreak down complex or unclear problems into clear steps and propose practical solutionsMake thoughtful tradeoffs between speed, correctness, and long-term maintainabilityBuild AI powered features using TypeScript and modern AI frameworksCollaborate closely with product and design to align on goals and ship with confidenceTalk with users and use the product yourself to understand real-world needs and opportunitiesPush through obstacles with resourcefulness and a strong problem-solving mindsetLearn new concepts quickly and apply them to real production challengesStay up to date on the latest in AI research and engineeringTake on tasks that stretch your abilities and work hard to close skill gaps quicklyContribute to a culture of ownership, ambition, and fast-paced learningAI is a rapidly evolving field, and no one here has all the answers. We value humility, openness to feedback, and a willingness to revise your thinking as you learn. Strong opinions are welcome when they are paired with curiosity and respect for evidence.Primary outcomesYour success will be measured by:1. Independent problem-solving and execution You take goals, investigate unknowns, evaluate options, and deliver solutions without waiting for extensive guidance.2. Fast skill growth You significantly expand your technical range within your first months through hands-on work and deliberate learning.3. Shipped product impact Your features improve user experience, performance, and product depth in measurable and well-reasoned waysRequired backgroundCandidates typically show:A strong technical foundation from a top CS program or equivalent hands-on experience building real systemsEvidence of ambitious, self-driven projects or internships that required problem solving and ownershipSolid programming fundamentals and comfort with TypeScriptExceptional ability to read deeply, reason clearly, and communicate complex ideasCuriosity about AI systems and a desire to push beyond easy or obvious solutionsA personal track record of learning quickly and putting in real effort to master difficult skillsExperience working in fast-paced environments while balancing care with urgency.Nice to havePrior internships in AI, backend, or infrastructure engineeringPreviously been one of the first 10 hires at startupPersonal projects that show initiative, creativity, and independent thinkingBackgrounds or interests that span technical and non-technical domains (e.g. writing, design, philosophy, economics, etc)Why this role mattersWe are building products on the frontier of AI and that requires a team that learns fast, thinks clearly, and works hard. You will grow more in one year here than in several years at a typical company. You will take on challenges that stretch your abilities and solve problems that materially shape the future of the product.In all roles We look for:Intense. Ship fast. Cycles are hours, not weeks. Hard to outwork.Ownership. Grab the #1 priority and relentless to deliver.Fearlessness. Risk on. Do the unknown / uncomfortable. Say "good" to bad news.Taste. Obsess over quality. Know what “great” looks like. No slop.Play. Curiosity, joy, and energy.Sound like you?Come do the most meaningful work of your career. Applying Submit here and we'll reach out if it's a fit.

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Role & ReportingTitle: Senior Data ScientistHiring Manager: Marco, Data LeadLocation: Monday - Thursday in our Chancery Lane office (London), Friday remote.Compensation: £100-£140k base plus equity. About UsSince launching in May 2024 we’ve grown to $20 million in ARR.We’re building an AI executive assistant that handles emails, scheduling and follow-up, freeing people in client-facing roles to focus on their customers. What We ValueWe hire small numbers of exceptional people who want ownership and autonomy. You’ll be expected to work with urgency and intensity, but you’ll also gain responsibility quickly and see your work have a direct impact.What You’ll DoIn short, you’ll own Fyxer AI’s data science capabilities — you’ll set the roadmap for high-impact business areas like marketing and retention, implement scalable solutions, and ensure stakeholders use data to make confident commercial decisions.You’llBuild and refine predictive models on multi‑channel customer and usage data to drive product and marketing decisions. Collaborate with engineering, marketing, sales and product teams to define KPIs, experiment with new algorithms and surface actionable insights that drive impact. Maintain data infrastructure (BigQuery, dbt, Fivetran) and ensure data quality for reporting and self‑service analytics. Develop a culture of data-driven decision making and proactively suggest improvements to tools, processes and architecture. About YouYou use first principles to really understand the problem and build solutions that have real business impact You get frustrated just dealing with tickets and want to partner with businesses Experience working at a fast paced early-stage tech company (<100 people). Expert in SQL and comfortable with Python/R; experience building and deploying machine-learning models. Strong ability to transform messy data into production-ready datasets and communicate technical findings to non-technical stakeholders.People that thrive at FyxerYou want to build and have impact from the ground up. You want to have unreasonable ownership of your own world You work hard, with intensity everyday & move incredibly quickly You always challenge the systems you’re in to be better

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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!Join Zapier’s new AI Tasks team, where you’ll own the core AI surfaces that make our customers’ workflows smarter—shipping and scaling products like AI by Zapier and Human in the Loop that thousands rely on to extract, classify, summarize, and safely approve actions in production automations. You’ll partner across our AI Orchestration portfolio (Agents, Chatbots, Copilot, and platform capabilities) to design elegant, reliable AI execution patterns at scale—reducing friction, raising quality, and turning complex AI into approachable building blocks for real businesses.We’re hiring Senior Full Stack Engineers (both frontend and backend leaning) to help invest in taking these surface areas to the next level. You’ll collaborate closely with AI experts, product managers, designers, and platform engineers to bring LLM-native workflows to life — with users and usability always at the center.If you’re excited about building real-world applications of AI (not just demos), working across the stack, and shaping the future of autonomous agents in automation — we’d love to hear from you.Zapier Agents is a new and fast-moving product at the intersection of AI, automation, and product-led growth. In this role, you’ll:Design and build features that allow users to delegate tasks and orchestrate workflows using natural languageCollaborate with our platform team that manages agent memory, reasoning, execution, and system integrationsBuild and refine user-facing features and interfaces for initiating, monitoring, and guiding agent behaviorCollaborate with AI and platform teams to connect Zapier Agents with core orchestration infrastructureOwn projects end-to-end — from scoping and architecture to implementation, testing, and supportImprove developer experience, observability, and deployment pipelines as the product maturesIn this role, you’ll:Design and build features that allow users to delegate tasks and orchestrate workflows using natural languageContribute to backend systems that manage agent memory, reasoning, execution, and system integrationsBuild and refine user-facing features and interfaces for initiating, monitoring, and guiding agent behaviorCollaborate with AI and platform teams to connect Zapier Agents with core orchestration infrastructureOwn projects end-to-end — from scoping and architecture to implementation, testing, and supportImprove developer experience, observability, and deployment pipelines as the product maturesOur Commitment to ApplicantsCulture and Values at ZapierZapier Guide to Remote WorkZapier Code of ConductDiversity and Inclusivity at Zapier High Visibility, High ImpactIf you thrive on building complex systems that are easy to use and hard to break, this zone is for you:Work on foundational systems used by millionsHelp users build smarter, more powerful automationsContribute to new AI-native experiencesCollaborate with cross-functional teams across Product, Design, and SupportJoin a high-ownership environment with clear user impact and fast iterationAbout YouWe’re looking for experienced engineers who bring:For backend-leaning Full Stack roles: Strong backend experience with Python/Django building reliable, scalable, and observable services. Experience with TypeScript/Node.js is a bonus, but not required.For frontend-leaning Full Stack roles: Advanced experience with React (and ideally frameworks like Next.js); you’re confident working across the stack and delivering cohesive user experiencesExperience architecting, building, debugging and operating distributed systems at scale is a benefit to candidates, but not essential.Familiarity with AWS primitives, including S3, SQS, Lambda, RDS, etc.Familiarity with relational databases like PostgreSQL or MySQL, and the ability to model, query, and optimize data effectivelyExperience designing and consuming RESTful APIs, building event-driven systems, and working with data integrations across servicesProven ability to lead complex technical projects—owning design decisions, balancing tradeoffs, and guiding implementation across multiple contributorsYou proactively coach and support teammates, foster growth through mentorship, and contribute to a culture of feedback and continuous improvementYou navigate ambiguity with confidence—able to clarify priorities, align stakeholders, and drive toward meaningful outcomes even when goals shiftYou’ve used AI tooling for work or personal use. You explore new tools, workflows, and ideas to make things more efficient, and are eager to deepen your understanding of AI and use it regularly.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.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?As an Evaluation Frontend Software Engineer, you will play a key role in helping us make modelling decisions based on experimental outcomes for our large language models (LLMs). Your primary focus will be on building tools to enable easy visualization and analysis of model evaluations which are stored in a central database. You will work closely with cross-functional teams, including researchers and engineers, to surface the insights that are necessary for the future development of our models.This role combines expertise in statistics, data science, frontend development and data visualization. If any of these topics sound interesting to you, we encourage you to apply.Please Note: We have offices in London, Paris, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role.As a Evaluation Frontend Software Engineer you will:Design tools and visualizations that enable researchers and engineers to compare and analyse hundreds of model evaluations. This includes both data visualization tools, as well as statistical tools to extract signal from the noisy signals we get.Develop an understanding of the relative merits and limitations of each of our model evaluations, as well as suggest new facets of model evaluation.You may be a good fit if you have:Extremely strong software engineering skills.Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.Prior experience building front-end visualization systems and dashboards.Familiarity with ML systems evaluations.Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).Excellent communication skills to collaborate effectively with cross-functional teams and present findings.One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?As a Member of Technical Staff in the pretraining evals team, you will play a key role in helping us make modelling decisions based on experimental outcomes for our large language models (LLMs). Your primary focus will be on developing better ways to measure base model progress. This can include implementing new/better evaluations for base model capabilities, finding ways to reduce noise in our current model evaluations, or developing evaluation benchmarks that measure model progress at all model scales, among other directions.This role combines expertise in statistics, data science, model evaluation and experience with base model capabilities and how to measure them. If any of these topics sound interesting to you, or if you believe that measuring model performance accurately is a crucial part of advancing artificial intelligence, we encourage you to apply.Please Note: We have offices in London, Paris, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role.As a Member of Technical Staff, Pretraining Evals you will:Deeply understand each individual evaluation task in our base model evaluation suite, have a clear idea of what each task measures and know their strengths and limitations.Suggest and implement improvements to our base model evaluation suite, whether by adding new tasks to measure unmeasured model capabilities or removing redundant or low-signal tasks.Improve the statistical understanding of our evals and improve the signal-to-noise ratio of our evaluation suite.You may be a good fit if you have:Familiarity with base model evaluations and how they differ from post-trained models.Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.Ability to convey statistical information effectively to a broad audience using visualizations and easy-to-understand numbers.Extremely strong software engineering skills.Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).Excellent communication skills to collaborate effectively with cross-functional teams and present findings.One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewThe quality of Harvey’s AI & Search systems is of critical importance. Our customers expect us to produce accurate, specific, verifiable and personalized results across all of our product surfaces. They also expect the quality of our answers to continuously get benchmarked and improved.In this role, you will drive overall AI & results quality across all of Harvey’s products (Assistant, Harvey Word, Vault, Workflows & Agents, and net new products). This includes establishing the right evaluation processes and tools, creating and evangelizing reusable AI building blocks, and working closely with all product teams to continuously improve the quality of Harvey’s AI outputs. You will be responsible for building out tools and processes and for establishing a strong culture of scientific experimentation, rigorous evaluation, and iterative improvements.What You'll DoEstablish an AI & Results Quality Program at Harvey: Establish offline and online eval processes and tools, and a culture of continuous iteration and experimentation.Build out core AI quality building blocks that can be reused across different teams and surface areas.Own search & retrieval quality, both for AI applications as well as other use cases.Work closely with product engineering to continuously improve the quality and capabilities of our AI & search products.Work closely with platform engineering to scale our capabilities.What You HaveSignificant industry experience leading AI or other related quality efforts (search or ads ranking systems, recommender systems, etc) at industry-leading companies.Excellent software engineering skills; experience working in teams that built and operated production systemsExcellent communication skills, both written and verbal.Ability to roll up your sleeves and build team, processes, and technology from the ground up.A strong academic or professional background in Machine Learning, Generative AI, Information Retrieval or other related fields.Compensation Range$297,000 - $390,000 USD#LI-ML1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewThe quality of Harvey’s AI & Search systems is of critical importance. Our customers expect us to produce accurate, specific, verifiable and personalized results across all of our product surfaces. They also expect the quality of our answers to continuously get benchmarked and improved.In this role, you will drive overall AI & results quality across all of Harvey’s products (Assistant, Harvey Word, Vault, Workflows & Agents, and net new products). This includes establishing the right evaluation processes and tools, creating and evangelizing reusable AI building blocks, and working closely with all product teams to continuously improve the quality of Harvey’s AI outputs. You will be responsible for building out tools and processes and for establishing a strong culture of scientific experimentation, rigorous evaluation, and iterative improvements.What You'll DoEstablish an AI & Results Quality Program at Harvey: Establish offline and online eval processes and tools, and a culture of continuous iteration and experimentation.Build out core AI quality building blocks that can be reused across different teams and surface areas.Own search & retrieval quality, both for AI applications as well as other use cases.Work closely with product engineering to continuously improve the quality and capabilities of our AI & search products.Work closely with platform engineering to scale our capabilities.What You HaveSignificant industry experience leading AI or other related quality efforts (search or ads ranking systems, recommender systems, etc) at industry-leading companies.Excellent software engineering skills; experience working in teams that built and operated production systemsExcellent communication skills, both written and verbal.Ability to roll up your sleeves and build team, processes, and technology from the ground up.A strong academic or professional background in Machine Learning, Generative AI, Information Retrieval or other related fields.Compensation Range$297,000 - $390,000 USDPlease find our CA applicant privacy notice here.#LI-ML1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff.We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale.Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.Role Summary:As a Forward Deployed Engineer, you will partner directly with customers to understand their biggest challenges and rapidly design, implement, and integrate technical solutions that drive real impact. This role blends problem-solving, creativity, and hands-on engineering as you help deploy products and workflows in live environments. You’ll gain unique exposure to critical industries and institutions across the country and play a key role in shaping how they operate and innovate.Our ideal candidate is technically curious, an excellent communicator, and deeply committed to customer success. They thrive in collaborative environments​ working seamlessly with both technical and non-technical partners​ and are comfortable operating in a fast-moving setting with evolving goals and continuous user feedback.What you'll doTechnical Solution Design & Architecture: Leverage engineering expertise to design scalable AI workflows for clinical and operational use cases. You will produce professional-grade systems and data-flow diagrams to define interfaces, failure modes, and integration points with EHRs and legacy systems.Build & Deploy AI Agents: You will get hands-on to configure and deploy Large Language Model (LLM) powered workflows. This involves applying advanced prompting strategies, building agentic workflows, and tuning vector stores for quality, latency, and cost.Security & Compliance Assurance: Perform technical validation of AI algorithm outputs and ensure strict adherence to HIPAA/SOC 2 controls. You will establish guardrails (audit trails, least-privilege access) to ensure safe clinical deployment.Execute & Operationalize: Independently manage technical implementation plans, defining scope and setting expectations with customers. You will drive "scrappy-but-safe" prototypes into production and facilitate the transition to steady-state ownership alongside Customer Success teams.Stakeholder Engagement: Serve as the technical voice in customer meetings, translating complex platform capabilities into clear value propositions for executives and non-technical stakeholders.Drive Product Improvement: Provide input to internal cross-functional teams on platform gaps, identifying which capabilities are harder to deploy and helping to widen the competitive advantage.You're a great fit ifYou Thrive on Technical Challenges: You are a builder who enjoys pushing the boundaries of AI innovation and are comfortable digging deep into areas you are unfamiliar with to make it happen.You Obsess Over Outcomes: You demonstrate strong product intuition, understanding that the goal is not just software delivery, but tangible ROI and improved outcomes for patients and providers.You Bridge the Gap: You enjoy operating at the intersection of technical execution and strategic vision, inspiring innovation in the partners and leaders you build with.You have an Entrepreneurial Mindset: You look at yourself as an owner who likes to build and solve challenges others have yet to master, thriving in an autonomous, high-performance environment. What we're looking for5+ years of experience in Forward Deployed, Solutions, or Implementation Engineering roles with significant client-facing responsibility.Proficiency in TypeScript/Node.js for backend development and scripting. Experience with APIs (REST, gRPC), event-driven architectures, and cloud infrastructure (AWS/GCP/Azure).Practical experience building with LLMs, including prompting, RAG, vector databases, and evaluation frameworks.Familiarity with healthcare data standards (HL7, FHIR, C-CDA) and workflows (Revenue Cycle, Access) is preferred.Ability to communicate technical concepts to a variety of audiences, from technical/IT teams to operational executives.This role offers a blend of in-office collaboration and travel. You’ll spend about 50% of your time meeting with customers and teams on-site, and we ask that you join us in the office three days a week to stay connected and work closely with your teammates.#LI-TD1We value in-person collaboration and connection. For Bay Area–based employees, this role requires being in our San Mateo office at least three days a week. For remote employees, occasional travel to headquarters is expected for company-wide events and onsite gatherings.Beware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be me from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.

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

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About the TeamThe Enterprise Agents team is scaling OpenAI with OpenAI. We apply our latest models to real-world problems in order to assist with or automate work across the company—then share what we learn back to the broader product and research teams. We’ve built an ecosystem of automation products that’s applied everywhere from customer operations to workplace to engineering. We love building products for folks sitting right next to us, and we take the time to add the little big touches that delight. Our goal is to prototype fast, then build for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple, generic patterns that we can apply across many domains. About the RoleWe’re looking for an engineer who’s passionate about blending production-ready platform architecture with new tech and new paradigms. You’ll push the boundaries of OpenAI’s newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive, product-minded engineers who can see the big picture while staying on top of the little details that define great products. In this role, you will:Own the full product development lifecycle for new platform capabilities and product experiences end-to-endCollaborate closely with internal customers to understand their problems and implement effective solutionsWork with the research team to share relevant feedback and iterate on applying their latest models You might thrive in this role if you:4+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companiesFormer founder, or early engineer at a startup who has built a product from scratch is a plusProficiency with JavaScript, React, and other web technologiesProficiency with a backend language (we use Python)Some experience with relational databases like Postgres/MySQLInterest in AI/ML (direct experience not required)Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.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 Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What you’ll be doing Build & Deploy Agents: Own the full AI agent build process - prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement: Lead weekly demos, show progress, gather feedback, and act as the primary technical point of contact once a solution is defined. Systems Integration: Configure APIs, data maps, authentication, error handling, and connect to CRMs, databases, or knowledge systems. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Optimization: Monitor performance, refine prompts, test iteratively, and ensure agents meet automation and containment targets. Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Shadow Core Engineering: Collaborate with product/engineering teams for deep technical fixes and platformization, while independently leading client delivery. What you'll bring to the role 3+ years in conversational AI, ML engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong skills in prompt engineering, workflow building, API integration, and telephony (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). ML expertise in embeddings, retrieval-augmented generation (RAG), evaluation frameworks, fine-tuning models, and performance optimization. Solid programming skills (Python, JavaScript, or similar). Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos. Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems. Bachelor’s degree in Computer Science, Engineering, or a related technical field Hands-on experience with Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficient in API integrations and data flow management. Strong experience in telephony integrations, including knowledge of protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $108 - 170K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  #LI- Redwood City, CA (Hybrid)

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About UsAt Union, we are solving one of the hardest challenges in AI infrastructure today: enabling high-velocity iteration while maintaining seamless production-readiness for AI workloads at scale. Flyte, the open-source project we steward, is the emerging standard for modern data and AI orchestration, with numerous leading technology organizations - like LinkedIn, Spotify, and Gojek - running millions of mission-critical workloads on the platform. We have a deep bench of infrastructure veterans from companies in the Big Three and beyond and a technical founding team who originally created Flyte while at Lyft. About the RoleWe're looking for a Senior Software Engineer to join our backend team and help build the infrastructure that powers AI workloads at scale. You'll design and implement core services in Go, work across multiple cloud environments, and collaborate with customers and internal teams to deliver reliable, low-latency systems.This role is ideal for someone who enjoys solving hard distributed systems problems, cares deeply about performance, and wants to work at the intersection of cloud infrastructure and machine learning.What You'll DoDesign, build, and operate backend services in Go that handle high-throughput, latency-sensitive workloads.Optimize system performance across compute, memory, and network dimensions—identifying bottlenecks and implementing measurable improvementsBuild and maintain integrations with AWS, GCP, and Azure, abstracting cloud-specific complexity behind clean interfaces.Architect systems that run reliably across multiple cloud providers, handling the nuances of each platform.Collaborate with ML engineers and platform teams to understand workload characteristics and design systems that meet their needs.Participate in on-call rotations and incident response, continuously improving system reliability.Influence technical direction through design documents, code reviews, and mentorship.What We're Looking For5+ years of experience building production backend systems, with strong proficiency in Go.Demonstrated experience designing and operating large-scale distributed systems (high availability, fault tolerance, horizontal scaling).Deep understanding of performance optimization—you can profile code, interpret flame graphs, and reason about latency at the p99 level.Significant experience with multiple major cloud providers (AWS, GCP, Azure), including compute, networking, and IAM.Familiarity with Kubernetes, container orchestration, and cloud-native patterns.Strong communication skills and a collaborative approach to problem-solving.If in the Seattle/Bellevue area, you will be expected to be in-office, in a hybrid schedule.Nice to HaveExperience with Python and/or Rust for SDK or tooling development.Experience building infrastructure for ML/AI workloads (training, inference, data pipelines).Background in systems programming, networking, or storage.Contributions to open-source projects.Experience with Terraform, Pulumi, or other infrastructure-as-code tools.Benefits & BelongingAt Union.ai we know that employees who feel their best can build amazing things and we are proud to offer best in class benefits that will continually evolve and grow as the needs of our employees do. Benefits may vary based on countryExcellent medical - We pay 100% of your premiums and 90% for your dependentsGenerous dental and vision plans- We pay 90% of the premiums for you and your dependentsMeaningful equity in the form of options – all employees are owners hereUnlimited time off + 12 company holidays 401K match - Union.ai matches 100% of contributions up to the first 3%, and 50% up to 5%16 weeks paid parental leave for primary and secondary caregiversFlexible work schedule (some restrictions apply)For in office employees: Lunch provided onsite and well stocked kitchen with snacks and drinks. We believe that our differences are what bring us together to achieve truly special outcomes. We strive to be inclusive and focus on building teams that embody that quality too. Union.ai is an equal-opportunity employer and we encourage you to apply, even if your experience doesn’t align exactly with our job description.

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About Anyscale:At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. Anyscale is actively seeking talented engineers to join our team and contribute to the development of next-generation, high-performance machine learning serving systems. We value diversity and inclusion, and we encourage individuals from underrepresented groups to apply. Many existing ML serving tools are inherited from previous infrastructure generations, but emerging ML applications present new requirements, such as high compute demands, specialized hardware needs, and the integration of multiple models and business logic within a single request. At Anyscale, our mission is to provide a powerful yet simple set of tools that enable the seamless deployment of complex ML applications in production. About the Serving Infrastructure team:The Serving Infrastructure team is dedicated to creating world-class systems for serving ML models in production. This includes building and maintaining the open-source Ray Serve library and contributing directly to the Anyscale platform used by our customers for critical applications. Our work is often user-facing, allowing you to collaborate with open-source users and customers ranging from lean ML engineering teams at small startups to industry-leading companies such as Uber, Shopify, and ByteDance. As part of this role, you will:Develop a highly available service for ML model serving.Enhance Ray Serve and our other libraries to simplify the development of next-generation ML applications in production.Improve our autoscaling capabilities to drive performance enhancements and cost savings.Optimize latency and throughput for both single- and multi-model serving scenarios.We'd love to hear from you if you have:A solid background in algorithms, data structures, and system design.Experience working with modern machine learning tooling, including PyTorch, TensorFlow, and JAX.At least 2+ year of relevant work experience.Bonus points!Experience in building and maintaining open-source projects.Experience in building and operating machine learning infrastructure in production.Experience in building highly available serving systems.CompensationAt Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $170,112 ~ $237,000. As the market data changes over time, the target salary for this role may be adjusted.This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:Stock OptionsHealthcare plans, with premiums covered by Anyscale at 99%401k Retirement PlanEducation & Wellbeing StipendPaid Parental LeaveFertility BenefitsFlexible Time OffCommute reimbursement100% of in office meals coveredAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.  Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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

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We are looking for the bestUMOS ONE은 현대자동차그룹의 글로벌 소프트웨어(SW)센터인 포티투닷(42dot)의 자회사로, UMOS (Urban Mobility Operating System) 사업을 전개하는 기업입니다. '모든 것이 스스로 움직이고 연결되는 세상'이라는 비전 아래, 미래 도심형 모빌리티 서비스의 시작부터 끝까지 전 과정을 아우르는 통합 플랫폼을 개발하고 있습니다.주요 솔루션으로는 모빌리티 서비스 'TAP!', 차량 관제/운영 시스템 'Pleos Fleet', AI 기반 운송 관리 시스템 'Capora' 등이 있으며, SDV(Software Defined Vehicle) 기반 기술의 상용화를 이끌며 미래 모빌리티 서비스의 중심을 이끌고자 합니다. * 본 채용건은 포티투닷 채용이 아닌 자회사 UMOS ONE 채용입니다. Why join UMOS ONE빠른 실행력으로 판을 바꿀 당신을 기다립니다!우리는 지금, ‘TAP!(탭)’ 모빌리티 서비스부터 차량 운영 시스템 Pleos Fleet, AI 기반 운송관리 시스템 Capora까지 – SDV(Software Defined Vehicle) 기반 기술을 현실로 만들고 있습니다. 빠르게 변화하는 시장 속, 복잡한 문제를 날카롭게 분석하고 정확한 솔루션으로 밀어붙이는 실행력 있는 동료가 필요합니다.함께 크는 팀, 같이 가는 성장UMOS ONE의 문화는 단순한 협업을 넘어, 서로의 성장을 진심으로 응원하는 팀워크에 기반합니다. 혼자 잘하는 것보다 함께 잘하는 팀을 만드는 것을 목표로 치열하지만 따뜻한 분위기 속에서, 성장 욕심 많은 사람들끼리 시너지를 내며 진짜 재미있는 도전을 이어나갈 동료를 모십니다.ResponsibilitiesAI 모델 개발 및 Agentic AI 연동 (Routing, Dispatching, Prediction)지식 그래프에서 추출된 Feature를 활용하여 AI 기반 최적 라우팅 (Routing) 및 배차/운영 (Dispatching) 기술 개발 (최적화 알고리즘, 강화 학습 등)수요 예측 (Demand Prediction), 도착 시간 예측 (ETA) 등 Analytics Prediction 모델 개발 및 성능 개선개발된 지능형 모델을 활용하여 Agentic AI System (자율적 의사결정 시스템)과의 연동 아키텍처 설계 및 구현지식 그래프 및 온톨로지 구축 (Knowledge Graph & Ontology)Mobility 및 Logistics 도메인에 특화된 온톨로지(Ontology) 설계 및 개발지식 그래프 (Knowledge Graph) 기반의 데이터 모델을 구축하고, 대규모 이질적인 데이터를 통합 및 정제Ontology와 유사한 개념으로, 서비스 엔티티(차량, 기사, 주문, 경로 등) 간의 관계를 정의하고 관리하여 데이터의 지능화 수준 향상대용량 데이터 엔지니어링 및 MLOpsUMOS 플랫폼에서 수집되는 대용량 데이터 파이프라인 (ETL/ELT) 설계, 구축 및 운영안정적인 모델 운영을 위한 MLOps 파이프라인 (학습, 배포, 모니터링) 구축 및 자동화서비스 백엔드 시스템과의 효율적인 인터페이스(API) 개발 및 통합Qualifications8년 이상의 데이터 엔지니어링, 머신러닝 엔지니어링 활용 개발 경력Python 등 주력 언어를 활용한 데이터 처리 및 AI 모델 개발에 능숙한 분대용량 데이터 처리를 위한 분산 처리 기술 (Spark, Hadoop 등) 사용 경험클라우드 환경 (AWS, GCP, Azure 등) 기반의 데이터 파이프라인 및 MLOps 구축 경험Mobility, Logistics 도메인 데이터에 대한 깊은 이해를 바탕으로 데이터 정제 및 분석 경험Preferred QualificationsKnowledge Graph, Ontology, Semantic Web 기술 (RDF, SPARQL 등) 관련 연구 또는 개발 경험그래프 데이터베이스 (Neo4j, AWS Neptune 등) 활용 경험최적화 이론 및 알고리즘 기반의 라우팅/디스패칭 모델 개발 경험Agentic AI, Multi-Agent System 관련 개발 경험Kubernetes, Docker 환경에서 실시간 서빙 시스템 구축 경험Kafka, Flink 등 스트림 처리 기술을 활용한 실시간 데이터 처리 경험Interview Process서류전형 - 코딩테스트 - 1차면접 (1시간 내외) - 2차면접 (3시간 내외) - 최종합격전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다.Additional Information근무지: 서울 서초구 신논현역 부근본 채용의 입사는 자회사 UMOS ONE 으로 입사 진행 됩니다.UMOS ONE은 자체 Employee Engagement Program을 제공합니다.이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다.모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.)인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다.국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다.장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다.UMOS ONE은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다.

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We are looking for the bestUMOS ONE은 현대자동차그룹의 글로벌 소프트웨어(SW)센터인 포티투닷(42dot)의 자회사로, UMOS (Urban Mobility Operating System) 사업을 전개하는 기업입니다. '모든 것이 스스로 움직이고 연결되는 세상'이라는 비전 아래, 미래 도심형 모빌리티 서비스의 시작부터 끝까지 전 과정을 아우르는 통합 플랫폼을 개발하고 있습니다.주요 솔루션으로는 모빌리티 서비스 'TAP!', 차량 관제/운영 시스템 'Pleos Fleet', AI 기반 운송 관리 시스템 'Capora' 등이 있으며, SDV(Software Defined Vehicle) 기반 기술의 상용화를 이끌며 미래 모빌리티 서비스의 중심을 이끌고자 합니다. * 본 채용건은 포티투닷 채용이 아닌 자회사 UMOS ONE 채용입니다. Why join UMOS ONE빠른 실행력으로 판을 바꿀 당신을 기다립니다!우리는 지금, ‘TAP!(탭)’ 모빌리티 서비스부터 차량 운영 시스템 Pleos Fleet, AI 기반 운송관리 시스템 Capora까지 – SDV(Software Defined Vehicle) 기반 기술을 현실로 만들고 있습니다. 빠르게 변화하는 시장 속, 복잡한 문제를 날카롭게 분석하고 정확한 솔루션으로 밀어붙이는 실행력 있는 동료가 필요합니다.함께 크는 팀, 같이 가는 성장UMOS ONE의 문화는 단순한 협업을 넘어, 서로의 성장을 진심으로 응원하는 팀워크에 기반합니다. 혼자 잘하는 것보다 함께 잘하는 팀을 만드는 것을 목표로 치열하지만 따뜻한 분위기 속에서, 성장 욕심 많은 사람들끼리 시너지를 내며 진짜 재미있는 도전을 이어나갈 동료를 모십니다.ResponsibilitiesAgentic AI 시스템 설계 및 개발UMOS 플랫폼의 자율적 의사결정 시스템 (Agentic AI System)의 핵심 아키텍처 및 모듈 설계AI 기반 라우팅, 디스패칭, 예측 모델을 실제 서비스 운영 로직으로 통합하는 에이전트 시스템 개발Mobility 및 Logistics 운영 환경의 동적 변화에 실시간으로 반응하고 최적의 결정을 내리는 SW 로직 구현지식 그래프 (Knowledge Graph) 기반의 정보를 활용하여 에이전트의 의사결정 능력 강화에이전트 시스템의 안정성과 확장성을 보장하기 위한 분산 시스템 설계 및 운영테스트 및 검증 환경 구축Agentic AI 시스템의 복잡한 로직 및 의사결정 과정을 검증하기 위한 시뮬레이션 및 테스트 환경 개발운영 중인 에이전트 시스템의 성능, 행동, 안전성을 모니터링하고 분석하는 툴 개발Qualifications5년 이상의 백엔드 시스템 또는 Agentic AI 시스템 개발Java, Kotlin, Go, Python 등 주력 백엔드 언어에 능숙하며, 객체 지향 설계 (OOP) 및 디자인 패턴에 대한 이해가 높은 분Agentic AI, Multi-Agent System, Optimization Logic 등 지능형 시스템 설계에 대한 관심 및 이해RESTful API, MCP, A2A 설계 및 서비스 통합 경험Preferred QualificationsAgentic Frameworks (예: LangChain, CrewAI 등) 또는 관련 기술 스택 연구 및 적용 경험최적화 문제 (Optimization Problem) 해결을 위한 알고리즘 설계 및 SW 구현 경험Knowledge Graph 또는 Graph Database의 서비스 레벨 연동 경험클라우드 기반 Microservices (MSA) 환경에서 Kubernetes/Docker를 활용한 운영 경험Mobility, Logistics 등 실시간 동적 시스템 도메인 서비스 개발 경험시스템 시뮬레이션 또는 모델 검증을 위한 SW 개발 경험Interview Process서류전형 - 코딩테스트 - 1차면접 (1시간 내외) - 2차면접 (3시간 내외) - 최종합격전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다.Additional Information근무지: 서울 서초구 신논현역 부근본 채용의 입사는 자회사 UMOS ONE 으로 입사 진행 됩니다.UMOS ONE은 자체 Employee Engagement Program을 제공합니다.이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다.모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.)인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다.국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다.장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다.UMOS ONE은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다.

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