Find AI Work That Works for You

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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 a Biology Specialist at xAI, you will be instrumental in enhancing our cutting-edge AI technologies by providing high-quality input and labels using specialized software. You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced biological fields to drive significant improvements in model performance. This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions—tasks with which you must be comfortable and eager to engage. 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. The Biology Specialist role is a remote full-time position and there are full-time and part-time positions available (please see the bottom of this job description for more details). 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. Solve problems that help drive innovation in life sciences by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application. Choose problems from fields across biology, biotechnology and life sciences that align with your expertise in specialized subdomains such as genomic analysis, evolutionary biology, or drug discovery, where you can confidently provide detailed solutions and evaluate model responses. Regularly interpret, analyze, and execute tasks based on given instructions. Required Qualifications Master’s or PhD in a biology-related field. Expertise in one or more of the following: Genetics, Genomics, Developmental Biology, Systems Biology, Physiology and Anatomy, Evolution, Microbiology, Plant Biology, Zoology and Animal Biology, Marine Biology and Oceanography, Epidemiology, Biostatistics, Public Health, Pharmacology, Toxicology and Drug Discovery. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources, databases, and online resources is essential. 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. Preferred Qualifications Advanced expertise in biology, demonstrated by multiple publications, including at least one first-author paper, in reputable peer-reviewed journals Previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). Experience in technical writing, journalism, or a professional writing setting. Location, Hourly, and Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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The AI orchestration of your wildest imagination.n8n is the open AI workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.Since our founding in 2019, we’ve grown into a diverse team of over 160 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:Cultivated a community of more than 650,000 active developers and buildersEarned 145k+ GitHub stars, making us one of the world’s Top 40 most popular projectsBeen ranked as one of Europe’s most promising privately held SaaS startups (4th in Sifted’s 2025 B2B SaaS Rising 100)Raised $240m to date, from Sequoia’s first German seed to our recent $180m Series C - bringing us to a $2.5bn valuationAnd are grateful for our 94 eNPS score (most companies would call 70 excellent) That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register.We’re in a defining moment of an incredible journey. Come and build with us.About the Leadership Talent PoolAt n8n, we’re always excited to connect with exceptional leaders who are passionate about building, scaling, and empowering teams to achieve ambitious goals. This Leadership Talent Pool is not for a specific open role—it’s a way for us to stay in touch with high-impact professionals who could be a strong fit for future leadership opportunities across our global teams.Whether your expertise lies in GTM, Product, Engineering, Operations, or People, we’d love to hear from you.What You’ll BringProven track record of leading and developing high-performing teams, in a fast-growing environment.Ability to set strategic direction, translate it into actionable goals, and drive execution.Strong communicator who builds trust and alignment across functions and cultures.Data-informed mindset, with the ability to balance analytical thinking and creativity in decision-making.Passion for building inclusive, empowering, and high-accountability team cultures.Experience scaling processes, org structures, and talent systems during growth or transformation phases.What We ValueA leadership style rooted in empathy, transparency, and ownership.Curiosity about automation, workflow orchestration, and AI-driven innovation.A commitment to impact over ego: you care deeply about results, but even more about how they’re achieved.Comfort with ambiguity, adaptability, and a proactive approach to problem-solving.Why Join the Talent PoolBy joining the n8n Leadership Talent Pool, you’ll stay on our radar for future Director, Head of, or VP-level opportunities as we continue to grow. If your background aligns with an upcoming role, our team will reach out directly to start the conversation.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.AI enablement 🤖 – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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About Sana At Sana, we're on a mission to bring superintelligence to work—a seamless, beautiful way to access all your company’s apps, knowledge, and data. We are obsessed with making AI agents do real work to empower our users to process and act on knowledge at an unprecedented scale.We’re a talent-dense team of engineers and designers in Stockholm, united by a passion for building great products with deep technical excellence. Our backgrounds span AI research at Google, distributed systems at Spotify, product design and AI infrastructure at Apple, competitive programming, and scaling fast-growing startups. At Sana, everyone is an owner. We cut out processes, maximize impact, and value rapid prototyping and iteration.Our AI tools already help over a million people learn and work better across hundreds of leading enterprises. But we’re just getting started—there’s so much more to build. Join us to tackle some of the most challenging and meaningful problems of our generation. About this roleAgents are bottlenecked by what they know, and search is a key ingredient of context engineering. You'll architect and scale Sana's search systems to handle enterprise-scale knowledge discovery—10-100x current volumes with sub-second latency and exceptional relevance. You'll design hybrid retrieval pipelines, ranking algorithms, and search APIs that enable agents to reason and act on the right information. Strong expertise in search engines, vector databases, embedding models and ranking algorithms is essential for success in this role.Search is rapidly transforming in the age of agents and you'll be at the forefront.In this role, you willScale search infrastructure to billions of documents across multi-tenant environmentsDesign hybrid retrieval combining semantic vector search with traditional IR techniquesBuild ranking systems that learn from user behavior to improve relevanceOptimize the full search stack—query understanding, indexing, and distributed retrievalEstablish observability frameworks to measure and improve search qualityShape the future of knowledge discovery with product and design teamsWhat success looks likeSearch scales to enterprise volumes with sub-second latency and 99.99% uptimeRetrieval applies proven IR techniques and cutting-edge agentic searchQuality metrics and regression detection catch issues before they impact usersYou balance hands-on implementation with system design and mentorshipPerformance bottlenecks are solved proactively across the stackAgents consistently find and use the right context to serve usersOur tech stackWe build on a simple modern stack optimized for both humans and AI:Backend: TypeScript, Node.jsFrontend: TypeScript, React, TailwindDatabases: Postgres, RedisCloud infra: GCP/Kubernetes/TerraformWhat We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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About Sana At Sana, we're on a mission to bring superintelligence to work—a seamless, beautiful way to access all your company’s apps, knowledge, and data. We are obsessed with making AI agents do real work to empower our users to process and act on knowledge at an unprecedented scale.We’re a talent-dense team of engineers and designers in Stockholm, united by a passion for building great products with deep technical excellence. Our backgrounds span AI research at Google, distributed systems at Spotify, product design and AI infrastructure at Apple, competitive programming, and scaling fast-growing startups. At Sana, everyone is an owner. We cut out processes, maximize impact, and value rapid prototyping and iteration.Our AI tools already help over a million people learn and work better across hundreds of leading enterprises. But we’re just getting started—there’s so much more to build. Join us to tackle some of the most challenging and meaningful problems of our generation.About the roleYou'll build and evolve the core services that power agents and product features, with a focus on enterprise-scale workloads, performance optimization, and long-term architectural sustainability. You drive architecture and systems design to ensure our platform can support high volumes of data, entities, and demanding enterprise clients.In this role, you willDesign and decompose services and APIs for scale and clarityBuild eventing and queue systems for reliable, high-throughput data flowsLead schema evolution, migrations, query/index optimization and caching strategiesDefine and enforce consistency models and multi-region readinessOptimize for performance budgets and privacy/tenant isolationWork hands-on with TypeScript/Node, Postgres, and distributed systems primitivesWhat success looks likeCore services are reliable, scalable, and easy to evolveRisks are identified and solved before issues become criticalAPIs are clear, well-documented, and power seamless product experiencesData boundaries are robust—privacy and tenant isolation are never compromisedPerformance budgets are met, even under heavy loadYou are a trusted partner for distributed systems design and implementationOur tech stackWe build on a simple modern stack optimized for both humans and AI:Backend: TypeScript, Node.jsFrontend: TypeScript, React, TailwindDatabases: Postgres, RedisCloud infra: GCP/Kubernetes/TerraformWhat We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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Your New Role and TeamSanctuary, a world leader in building AI-based control systems for humanoid robots, is seeking a Staff Research Scientist to join our team in engineering and innovating unique robotic manipulation tasks. As a Staff Research Scientist, your role will involve choosing the most cutting-edge methods, creating training and data collection systems, overseeing the evaluation of these algorithms in simulated environments, and implementing them on our robots in real-world situations. You will also enjoy the exclusive chance to make a meaningful impact by working with novel haptic and proprioceptive sensing techniques, thanks to our in-house robot with dexterous hands. Success CriteriaCreate, develop, and enhance cutting-edge Reinforcement Learning (RL) and Imitation Learning (IL) algorithms and evaluate their performance in practical applicationsStay current with the latest developments in RL/IL techniques and their application in roboticsIdentify, communicate, and lead research initiatives that show promise to the wider ML teamDiscover strategies for enhancing current RL/IL learning processes, considering key performance metrics like sample efficiency, speed, computational resources, and scalabilityDevise RL/IL training and data collection pipelines to expedite implementation on physical robotsCollaborate within a diverse team to devise innovative algorithms and investigate the root causes of errors in existing implementations Your ExperienceQualificationsPh.D. in Machine Learning, Computer Science, Applied Mathematics, or equivalent practical background in Reinforcement Learning and/or Imitation Learning 5+ years of hands-on experience implementing and deploying robotic manipulation tasks, both in simulation and on physical robots5+ years of practical experience applying various Reinforcement Learning and/or Imitation Learning methods, with focus on robotics in the real world4+ years experience in developing and optimizing large-batch parallel simulations for Reinforcement LearningProven expertise in continual learning, employing adaptive model training to improve long-term performance and accuracyProven expertise in sim-to-real transferExperience in transitioning Machine Learning research and trained models into real-world productionActive involvement in integrating Machine Learning models into a robotics platformA track record of publishing research in esteemed AI conferences such as ICRA, IROS and CORL SkillsDevelopment with Python 3.8 or laterWorking knowledge of PyTorch and/or TensorFlowFamiliarity with ROS2Expertise in use of Reinforcement Learning principles and their applicationExperience with Atlassian tools; Jira, Confluence, or equivalent i.e. GitLab TraitsAbove all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problemsStrong leadership skills in organizing R&D work for ML projectsEager to take on new challenges with tenacity and positivityPatience, persistence, and attention to detail when resolving performance issuesEnthusiasm for bringing human-like intelligence to machinesAbility to drive development of new functionalities from concept to productionAbility to multitask and prioritize in a fast paced environment

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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 We are seeking a skilled AI Banking Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to banking contexts. In this role, you will leverage your expertise in corporate banking operations, retail banking services, loan processing, customer account management, and financial product offerings to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world banking dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities Utilize proprietary software to provide accurate input and labels for banking projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving corporate banking operations, retail banking services, loan processing, customer account management, and financial product offerings. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for banking data. Select and analyze complex problems in banking fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability. Required Qualifications Professional experience in banking or related fields (e.g., corporate banking, retail banking, or roles involving loan processing, customer account management, or financial product offerings). Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in banking. Preferred Qualifications Relevant certification or training (e.g., Chartered Financial Analyst (CFA), Commercial Banking & Credit Analyst (CBCA), Financial Risk Manager (FRM), anti-money laundering certifications such as CAMS, or accounting certifications such as CPA). Experience mentoring or training others in banking or financial services practices. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting. Location, Hourly & Other Expectations This position is based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-motivation required. US-based candidates cannot be hired in Wyoming or Illinois at this time. Visa sponsorship is not available. 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 remote work, candidates must use a Chromebook, Mac with macOS 11.0 or later, or Windows 10 or later, and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. 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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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role The HP IQ Design team is dedicated to creating simple, delightful, and transformative user experiences. We're passionate about developing innovative yet familiar interfaces that feel like natural extensions of the human experience. We value collaboration across disciplines from software engineering to hardware design. We're excited to work with people who see technology as a tool to help people tackle real-world problems.  As a Digital Product Design Intern, you'll collaborate with our multidisciplinary team to explore new possibilities in AI-powered experiences. The ideal candidate brings intense curiosity, a dedication to craft and learning, and an openness to sharing and developing ideas. You love to experiment, engage deeply in the design process, and iterate continuously on concepts until they feel "just right" (and even then, you keep exploring ways to improve). At HP IQ, you'll have the opportunity to harness your passion to invent new features that shape our development roadmap. 2026 Internship Program Dates: May/June-August/September 2026. Final dates based on student schedule. What You Might Do Contribute to the design and development of new AI-powered products and features Create user interfaces and design elements using design tools such as Figma and Origami Studio Develop and present concepts and ideas to cross-functional teams  Participate in design reviews and provide feedback to the team Learn from an amazing team of people who care about crafting incredible products Experiment with AI technologies and explore their applications in design Essential Qualifications Obtaining a Bachelor's degree Experience designing and prototyping using industry-standard design tools such as Figma or Sketch Strong communication and storytelling skills Understanding of user-centered design principles Solid grasp of the fundamentals of visual design and typography Curiosity and a passion for technology Preferred Skills  We’re especially interested in you if you’re passionate about any of these areas: High-fidelity prototyping experience using code or tools like Origami Studio, SwiftUI, or web technologies like WebGL or JavaScript and CSS Experience with motion graphics and an understanding of animation principles Interest in design systems and building reusable components, iconography and type systems Experience using or experimenting with AI tools such as LLMs, Stable Diffusion, Midjourney, or ComfyUI We request that you submit a presentation (Keynote, PDF, or Figma preferred) featuring examples of your work, along with any passion projects that you feel represent you as a designer. We're particularly interested in seeing your process and how you think through problems, even if the projects are unfinished or experimental. Salary Range: $45-$48/per hour  Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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Head of Technology AI-First IT Automation PlatformAbout the CompanyWe’re building the next generation of AI-powered IT operations combining automation, intelligent agents, and human expertise to create an entirely new category of Managed Service Provider. Our mission is to make every IT function from endpoint management to incident response faster, more autonomous, and more intelligent.We are part of Infinity Constellation, a portfolio of AI-enabled service companies. This is an early-stage, hands-on builder role: you’ll define the core systems, agent frameworks, and infrastructure that power the platform from day one.The RoleWe’re looking for a Head of Technology who thrives in early-stage, fast-moving environments, someone who codes, experiments, and ships intelligent systems that solve operational problems in the real world. This isn’t a “corner-office” leadership role. It’s a hands-on founder-type position where you’ll:Architect and build the AI and automation backbone of the companyDeploy, evaluate, and monitor ML/LLM systems in productionPartner with product and operations to translate real customer pain points into intelligent, self-healing systemsBuild and lead a small technical team (5–10 engineers) as the platform scales over the next 24 months Key ResponsibilitiesArchitecture & Systems DesignOwn the end-to-end technical architecture: service orchestration, observability, and AI/ML pipelinesSelect and integrate frameworks for agentic orchestration (e.g. LangChain, LlamaIndex, OpenDevin-style frameworks, or custom alternatives)Establish standards for model evaluation, context management, and secure data handling AI/ML & Agent DevelopmentBuild, train, and deploy AI agents that automate IT workflows (troubleshooting, monitoring, patching, access management, etc.)Select and ship modern MLOps and Agentic Frameworks for deployment and monitoringImplement human-in-the-loop feedback loops to continuously improve model behavior Infrastructure & ReliabilityLead development of scalable backend systems (Python, Django/FastAPI, Pydantic, etc.) on AWS with EKS/HelmDesign observability and cost-tracking systems from day oneEnsure reliability, uptime, and security across distributed environments Team Leadership & ScaleRecruit, mentor, and lead early technical hires across backend, MLOps, and automation domainsDefine engineering standards, code review processes, and developer productivity systemsBuild the technical culture: curiosity, ownership, and continuous learning Who You AreBuilder-first: happiest when coding, prototyping, or debugging not just delegatingSystems-minded: you can design for both reliability and intelligenceAI-fluent: you understand how to deploy, monitor, and improve LLMs and agent systemsPragmatic: you pick tools that work and move fast while managing long-term scalabilityOperationally literate: you understand IT operations, DevOps, or infrastructure automation domains QualificationsRequired5+ years of software engineering experience, including 2–3 years building or operating ML systems in production Expertise in Python and experience with backend frameworks (Django/FastAPI), MLOps tools (Ray, MLflow, W&B, etc.) and Agentic Frameworks (LangChain, LangGraph, PydanticAI, CrewAI, Autogen, etc.) Experience deploying models or agent systems on cloud infrastructure (AWS preferred; EKS/Helm/Terraform a plus)Familiarity with LLM orchestration or multi-agent frameworksStrong foundation in observability, logging, and production reliabilityDemonstrated ability to lead and scale small teams (5–10 engineers) Nice to HaveExperience in IT automation, RMM tools, or endpoint managementExperience fine-tuning or evaluating LLMs (OpenAI, Anthropic, HuggingFace, etc.)Familiarity with retrieval-augmented generation or evaluation frameworksBackground in Infrastructure-as-Code, SRE, or cloud cost optimizationPrevious startup or founder experience

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

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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 - Chemistry Specialist at xAI, you will be instrumental in enhancing our cutting-edge AI technologies by providing high-quality input and labels using specialized software. You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced chemical sciences to drive significant improvements in model performance. This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions—tasks with which you must be comfortable and eager to engage. 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. The AI Tutor - Chemistry Specialist role is a remote full-time or part-time position (please see the bottom of this job description for more details). 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. Collaborate with the technical staff to enhance the design of efficient annotation tools. Solve problems that help drive innovation in chemical sciences by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application. Choose problems from fields across chemistry that align with your expertise in specialized subdomains, including, but not limited to, organic chemistry, physical chemistry, analytical chemistry, inorganic chemistry, computational chemistry, polymer chemistry, nuclear chemistry, or medicinal chemistry, where you can confidently provide detailed solutions and evaluate model responses. Regularly interpret, analyze, and execute tasks based on given instructions. Required Qualifications Master’s or PhD in a chemistry-related field. Expertise in chemistry-related subdomains, including, but not limited to, Organic Chemistry, Physical Chemistry, Analytical Chemistry, Inorganic Chemistry, Organometallic Chemistry, Biochemistry, Nuclear Chemistry, Computational/Theoretical Chemistry, Polymer/Materials Chemistry, Medicinal Chemistry, Catalysis, Surface/Colloid Chemistry, or Drug Discovery. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources, databases, and online resources is essential. 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. Preferred Qualifications Advanced expertise in chemistry, demonstrated by multiple publications, including at least one first-author paper, in reputable peer-reviewed journals Previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). Experience in technical writing, journalism, or a professional writing setting. Location, Hourly, and Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Mutiny Overview Mutiny is building a first-class agentic GTM platform that unifies sales and marketing to help companies close enterprise deals faster. Our customers are enterprise marketing and sales teams who face a fundamental challenge: what works isn’t scalable, and what’s scalable doesn’t work. Mutiny is solving this by combining AI agents, creative workflows, and deep integrations to deliver personalized marketing and sales experiences at scale. Our customers include some of the fastest-growing B2B companies—Uber, Amplitude, Qualtrics, and LaunchDarkly. We are backed by Sequoia Capital, Tiger Global, Insight Partners, and Y Combinator. About the Role We’re looking for a Senior Product Designer to join our Workflows Team in New York. You’ll own the design of our Campaign Builder and Creative Agent experiences—core surfaces that let marketers and sellers generate, edit, and launch personalized campaigns across accounts. This role is central to how Mutiny brings our agentic vision to life: helping enterprise teams go from idea to personalized assets with speed, trust, and quality. You’ll partner closely with PM, Eng, and other designers to define the end-to-end experience—from conversational AI collaboration to guardrails for brand consistency. 📍 This role is based in NYC and requires being in-person 5 days a week. What You’ll Do Lead design for the Asset Builder and Creative Agent workflows, balancing AI automation with marketer oversight Translate complex enterprise user needs (ABM, demand gen, sales collaboration) into intuitive flows that feel simple and empowering Design experiences that scale—from 1:1 account personalization to 1:many campaigns—while maintaining quality and trust Collaborate with PMs, engineers, and other designers to prototype, validate, and ship new features quickly Establish design patterns and systems that unify co-pilot chat, visual editing, and approval workflows Advocate for the end user, ensuring every change is checked against the full flow and end-to-end experience What We’re Looking For 5+ years of product design experience, ideally in SaaS or enterprise tools Strong portfolio demonstrating thoughtful UX for complex workflows and creative tools Ability to design for AI-driven experiences: balancing automation, transparency, and human control Comfort working from 0→1: shaping ambiguous problem spaces into clear, elegant solutions Excellent collaboration and communication skills—you thrive in cross-functional teams Bonus: experience designing for marketing, sales, or creative platforms Bonus: technical literacy; experience with vibe coding and a broad set of AI tools Why Join Mutiny Impact: Your work will shape the core creative workflows that define our product strategy for the next 18 months. Velocity: We move fast, ship often, and learn directly from enterprise customers. Collaboration: Partner with a high-caliber, supportive team committed to building the future of enterprise GTM. Growth: Be part of a fast-scaling startup where design has a seat at the table and drives product direction. Hiring Process Our process typically takes 2–3 weeks end-to-end. Hiring Manager Screen (30 min): Chat with our Head of Design about your past work, design approach, and what you’re looking for in your next role. Design Exercise: Async Loom walkthrough of 2 projects (5–10 min) 45 min live portfolio deep dive with panel Cross-Functional Interviews (3 x 45 min): With your PM counterpart, Engineering counterpart and a member of our CX team. Executive Interview: A final conversation with Jaleh (CEO & Cofounder) before making things official. Our Values 😜 Work should feel like play 🏃 Faster always wins 🍯 Stir the pot, regularly 👀 Do the right thing when no one’s watching 🛥 All hands on deck 🌎 Live in the world you want to change We are committed to empowering individuals of all backgrounds, experiences, and identities to reach their potential. We believe in balanced teams, which is why we have maintained a 50% male-to-female ratio in our investors and are committed to maintaining diversity of gender, lifestyle, ethnicity, and thinking in our team as we scale. Compensation We offer a competitive package including base salary, equity, and full benefits. The estimated salary range for this role is $155,000–$190,000, depending on experience. Additional Benefits Flexible paid time off Generous parental leave 100% medical, dental, and vision coverage Lunch provided daily in our NYC office Office-first culture with a vibrant HQ in Flatiron/Union Square H1-B sponsorship available Mutiny does not accept agency-submitted candidates for this posting. #LI-MT1

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role: As Data Operations Manager for Computer Use & Tool Use, you'll build and scale data operations that advance Claude's computer use capabilities and tool use safety. You'll partner with research teams to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This is a zero-to-one role requiring technical depth to understand what makes high-quality training data for autonomous agents, but your focus will be on strategy and execution rather than hands-on engineering. Think technical founder who evolved from writing code to building the business. About the Impact: The data strategies and operations you build will directly determine how well Claude can use tools safely, operate computers autonomously, and maintain quality across long-horizon agentic workflows. You'll work with world-class researchers advancing frontier capabilities, safety, and model performance while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality for complex, multi-turn agent interactions - someone who can think strategically about data needs for both capabilities and safety, build the right partnerships, and execute flawlessly. If you thrive at the intersection of technical depth and operational excellence, we'd love to hear from you. Responsibilities: Develop and execute data strategies for computer use, tool use safety, and agentic AI research Partner with research leaders to translate technical requirements into operational frameworks Build data collection and evaluation systems for complex scenarios: prompt injection robustness, multi-turn agent conversations, adversarial attacks, autonomous workflows Scale the generation of realistic evaluation environments that capture real-world tool use and computer use challenges Identify, evaluate, and manage specialized contractors and vendors for technical data collection Implement quality control processes to ensure data meets training requirements for both capabilities and safety Manage multiple complex projects simultaneously, balancing research velocity with rigorous evaluation standards Track metrics and communicate progress to stakeholders You may be a good fit if you: Have 3+ years in technical operations, product management, or entrepreneurial experience building from zero to scale Have strong technical foundations - proficiency in Python and understanding of ML workflows, RL environments, and evaluation frameworks Have strong communication skills and can effectively engage with both technical and non-technical stakeholders Are familiar with how LLMs work and could describe concepts like RLHF, tool use, and agentic workflows Understand the unique challenges of evaluating autonomous systems and long-horizon agent behaviors Are highly organized and can manage multiple parallel workstreams effectively Have a high threshold for navigating ambiguity and can balance strategic priorities with rapid execution Thrive in fast-paced research environments with shifting priorities and novel technical challenges Are passionate about AI safety and understand the critical importance of high-quality data in building safe, capable agentic systems Strong candidates may also have: Experience at companies training AI models, building AI agents, or creating AI training data, evaluations, or environments Knowledge of computer and tool use safety challenges like prompt injection, data exfiltration attempts, or adversarial attacks Experience with RLHF, reinforcement learning techniques, or similar human-in-the-loop training methods Domain expertise in computer use automation, security, or AI safety evaluation Familiarity with model performance monitoring, training observability, or quality assessment systems Track record of building and scaling operations teams The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$250,000—$365,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleBuild systems that transform powerful pre-trained models into aligned and general agents.Drive research and engineering initiatives that push the frontier of post-training, from data curation to large-scale optimization.Develop data generation pipelines, reward models, reinforcement learning algorithms, and inference-time scaling techniques.Collaborate across pre-training and post-training teams to deliver step-function gains in model capability.Contribute to shaping our understanding of how large models learn to reason, follow instructions, and improve through reinforcement learning.About YouDeep understanding of machine learning fundamentals and practical experience with large-scale LLM training.Strong engineering skills, comfortable diving into complex ML codebases and distributed systems.Experience improving model behavior through data, reward modeling, or RL techniques.Evidence of owning ambitious research or engineering agendas that led to measurable model improvements.Thrive in a fast-paced, high-agency startup environment; bias toward action and clarity of execution.Able to work fluidly across research and infra boundariesStrong communication capabilities and comfort working collaborativelyPassionate about advancing the frontier of intelligence.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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About UsAt Squint, we're building technology that matters. While many tech companies focus on digital-first industries, we've set our sights on empowering the 80% of the global workforce that keeps our world running: frontline manufacturing operators. From soda cans to tires, toothpaste to chocolate bars, chips to napkin holders, these are the people who build the things you touch and see every single day.The Leading Manufacturing Intelligence PlatformSquint delivers critical knowledge to frontline workers exactly when and where they need it. Our platform transforms manufacturing operations by putting AI and AR capabilities directly at workers' fingertips, creating what we call "agentic manufacturing" – where every team member has the power to make informed decisions in real-time using practical, applied artificial intelligence tools.Proven Impact with Industry LeadersOur technology serves Fortune 500 leaders across Automotive, Consumer Packaged Goods, and Life Sciences industries. These companies trust Squint to capture and activate their essential operational know-how, resulting in measurable improvements: reduced downtime, minimized waste, and optimized productivity at scale.Technology that Respects its UsersWe build consumer-grade software that delivers enterprise-grade results on familiar devices: phones and tablets. By combining cutting-edge innovation with deep customer insights, we create tools that feel intuitive while transforming how physical production environments operate.Backed and Built by the BestWe raised a $40m Series B at a $265m valuation and are backed by elite investors; including Sequoia Capital, Menlo Ventures, TCV and The Westly Group. Our co-founders have been recognized on Forbes' 30 Under 30 for Manufacturing and Industry, and Fast Company named us one of the most innovative augmented and virtual reality companies of 2025.Join Us in Making a DifferenceWhen you join Squint, you're not just building another app – you're creating technology that improves daily work life for people who manufacture the products our world depends on. It's meaningful work with visible impact.About the JobAs a Sales Engineer, you will help customers understand and realize the value that Squint brings to their organization. To achieve this, you will lead technical discussions, uncover manufacturing challenges, and design tailored solutions. You will showcase Squint’s capabilities through live demos, in-person site visits, and proofs of value that validate business impact in real-world conditions. Internally, you will help our team refine processes and playbooks and act as the voice of the customer to ensure our product continues to solve real problems and deliver measurable results that delight our customers.Key ResponsibilitiesPartner with Account Executives to understand customer needs and deliver tailored solutions.Conduct in-depth discovery to map business processes and identify pain points.Design and deliver compelling Proofs of Value anchored to core business outcomes.Address technical objections and articulate how Squint integrates with existing manufacturing workflows.Engage with key stakeholders, from plant managers to C-level executives, to ensure alignment on business objectives.Prioritize our customers’ success above all else.QualificationsExperience: 3-5+ years in a technical customer-facing role, ideally in manufacturing, AI, AR, or industrial solutions.Technical Proficiency: Ability to design and scope AI- and AR-driven manufacturing solutions and Proof of Value implementations.Analytical Skills: Ability to understand customer needs, analyze data, and tailor solutions to address specific pain points.Communication Skills: Ability to create technical proposals, presentations, and ROI analyses to share with stakeholders at all levels of an organization.Adaptability: Proven ability to thrive in a fast-paced, dynamic environment, inventing solutions on-the-fly.Travel: Willingness to travel frequently to customer sites.BenefitsCompetitive Salary and EquityComprehensive Medical, Vision, and Dental careFlexible PTO PolicyWellness BenefitMaven Family Planning BenefitsMental Health Services401(k) Retirement PlanCompany-wide RetreatsA Final NoteWe are committed to creating a diverse and inclusive workplace. Squint is an equal opportunity employer, welcoming applicants from all backgrounds without regard to race, gender, age, or any other protected characteristic. We encourage you to apply even if you're not quite sure you fit all the requirements for the role!Ready to redefine the future? Join us at Squint and be a part of something revolutionary.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. Responsibilities: Build security for large-scale AI clusters, implementing robust cloud security architecture including IAM, network segmentation, and encryption controls Design secure-by-design workflows, secure CI/CD pipelines across our services, help build secure cloud infrastructure, with expertise in various cloud environments, Kubernetes security, container orchestration and identity management Ship and operate secure, high-reliability services using Infrastructure-as-Code (IaC) practices and GitOps workflows Apply deep expertise in threat modeling and risk assessment to secure complex cloud environments Mentor engineers and contribute to hiring and growth of the Security team You may be a good fit if you have: 5-15+ years of software engineering experience implementing and maintaining critical systems at scale Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++) Experience managing infrastructure at scale with DevOps and cloud automation best practices Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics Outstanding communication skills, translating technical concepts effectively across all organizational levels Demonstrated success in bringing clarity and ownership to ambiguous technical problems Strong systems thinking with ability to identify and mitigate risks in complex environments Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams Experience supporting fast-paced startup engineering teams Passionate about AI safety and alignment, with keen interest in making AI systems more interpretable and aligned with human values Strong candidates may also: Designing and hardening CI/CD pipelines against supply chain attacks through isolated environments, signed attestations, dependency verification, and automated policy enforcement Building secure development workflows through hardened remote environments Implementing network segmentation and access controls in cloud environments Managing infrastructure through automated configuration and policy enforcement Hardening containerized applications and enforcing security policies Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$300,000—$405,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role: As Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution. About the Impact: The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you. Responsibilities: Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale Design and implement operational systems that translate research requirements into high-quality data pipelines Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities You may be a good fit if you: Have 3+ years in operations, consulting, product management, or program management roles Have exceptional project management skills with ability to handle multiple complex projects simultaneously Have strong communication skills and can engage effectively with technical and non-technical stakeholders Are familiar with how LLMs work or have strong interest in understanding AI training methodologies Are highly organized and can navigate ambiguity effectively Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar) Thrive in fast-paced research environments with shifting priorities Are passionate about AI safety and understand the critical importance of high-quality data Strong candidates may also have: Experience with data collection, labeling, or annotation operations for AI/ML systems Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows Background working with research teams at AI companies or research-oriented organizations Experience managing vendor relationships or external contractors Consulting background with experience translating complex requirements into deliverables Track record of implementing process improvements or quality control systems at scale The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$250,000—$365,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.We're always open to great people. If you're aligned with our mission but don't see the right role, we'd love to hear from you. What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleDesign, build, and operate Reflection’s large-scale GPU infrastructure powering pre-training, post-training, and inference.Develop reliable, high-performance systems for scheduling, orchestration, and observability across thousands of GPUs.Optimize cluster utilization, throughput, and cost efficiency while maintaining reliability at scale.Build tools and automation for distributed training, inference, monitoring, and experiment management.Collaborate closely with research, training, and platform teams to accelerate development and enable large-scale training and inference.Push the limits of hardware, networking, and software to accelerate the path from idea to model.About YouDeep systems or infrastructure engineering experience in high-performance or distributed computing environments.Strong understanding of GPUs, CUDA, NCCL, and large-scale training and inference frameworks and libraries (PyTorch, DeepSpeed, JAX, Megatron-LM, SGLang, vLLM, etc.).Hands-on experience with containerization, orchestration, and cluster management (Kubernetes, Slurm, or similar).Familiar with modern observability stacks and performance profiling tools.High agency and the ability to thrive in a fast-paced, high-ownership startup environment.Excited to build from zero to one defining how frontier-scale training/RL infrastructure is architected and operated.Motivated by enabling researchers and engineers to build the world’s most capable open-weight AI systems.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleResearch and build solutions across algorithms, scaling laws, data processing, optimizers, and model architecture.Design and run scientific experiments to advance our understanding of scaling large language models and data efficiency.Implement state-of-the-art methods from the deep learning literature.Lead small research projects independently while collaborating on larger initiativesOptimize the training infrastructure for efficient scaling.Contribute across the entire stack, from low-level optimizations to high-level model design.About YouGraduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline.Solid software engineering capabilities with experience building large-scale systems.Experience with large-scale ETL workflows and training data preparation.Deep understanding of large-scale ML, especially as it relates to language models, distributed training, and scaling.Proficient in Python and deep learning frameworks (PyTorch preferred).Navigate trade-offs between research objectives and practical engineering realities.Thrive in a fast-paced, high-agency startup environment with bias toward action.Strong communication capabilities and comfort working collaboratively.Passionate about advancing the frontier of intelligence.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleBuild the core software systems and tools that power our research, training, and production environments.Design and implement reliable, scalable, and secure services to support model development, deployment, and evaluation.Develop APIs, SDKs, and internal platforms that enable rapid experimentation and high-velocity iteration.Drive engineering excellence and create the foundation for our next generation of AI models.Provide the foundational layers that unify data, compute, and workflow management across model development.About YouStrong software engineering background with experience shipping production-grade systems.Experience designing APIs, services, or developer platforms that handle large-scale data or compute.Comfortable navigating complex codebases, debugging hard problems, and optimizing for reliability and speed.Thrive in a high-agency, fast-paced startup environment; bias toward action and impact.Excited about zero to one challenges, building new systems rather than maintaining legacy ones.Collaborative, clear communicator, and comfortable working across research and infra boundaries.Motivated by creating the software backbone for the world’s most capable open-weight AI systems.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.