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About the TeamMarketing tells OpenAI’s story—what we’re doing and why it matters—to the world through a variety of surfaces, most notably openai.com. Our small but nimble and growing team supports the design and development needs across the entire company, and sits within a larger team of professionals in marketing, design and product.Communicating the advances and benefits of AGI and our products is some of the most important work at OpenAI, and our goal is to do it in a beautiful, accessible, scalable, systematic way, with transparency and authenticity.About the RoleWe’re looking for experienced frontend engineers on the marketing eng team who can ship new features to millions of openai.com visitors around the world. You’ll work closely with other engineers on the team, our design partners, as well as cross-functional stakeholders across the company. In this role, you will:Partner closely with design, marketing, and other cross-functional stakeholders to communicate OpenAI’s mission to the worldDesign and build efficient and reusable front-end systems that drive a complex web application with millions of visitors a dayPlan and deploy front end infrastructure necessary to build, test, and deploy our site You might thrive in this role if you: Have experience building production web apps at scale using TypeScript, NextJS / React and other web technologies. Bonus points for solid web fundamentals like native JavaScript and CSSAre comfortable building complex applications and systems from the ground up, with limited development infrastructure available to youHave a voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with othersAre comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessaryAbout 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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.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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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewHarvey is building the future of legal work, and we’re looking for an Engineering Manager to help lead the charge. Our Document Processing team sits at the core of our platform—enabling our AI systems to make sense of massive troves of legal documents. From OCR to vector storage, our systems must be fast, accurate, and scalable to meet the demands of the top law firms in the world.You’ll lead a team of exceptional engineers to extend our capabilities, push the boundaries of what’s possible in document understanding, and ensure our infrastructure scales with our users.We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we'd love to hear from you.What You’ll DoLead and grow a team of world-class engineers working on document ingestion, understanding, and retrieval.Define and execute a long-term technical roadmap for our document processing systems that aligns with Harvey’s product vision and the needs of our customers.Collaborate closely with Product, Infrastructure, and Applied AI teams to design robust systems that bridge cutting-edge research and production readiness.Stay hands-on: unblock engineers, participate in architecture reviews, and dive into code when needed.Cultivate a culture of engineering excellence, thoughtful experimentation, and continuous improvement.What You Have2+ years of experience in a software engineering management role, leading teams operating in technically complex domains.A track record of leading high-performing, engaged engineering teams.A strong foundation in backend systems, with 5+ years of hands-on experience designing and operating distributed systems in a cloud environment.Direct experience in architecting or scaling document ingestion and processing, search systems, or data infrastructure (e.g. OCR pipelines, Elasticsearch, vector databases).Compensation Range$250,000 - 300,000 USDPlease find our CA applicant privacy notice here.Harvey 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 interview-help@harvey.ai.

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About UsHippocratic AI has developed the only safe, safety-focused Large Language Model (LLM) for healthcare, resulting in the only autonomous patient-facing clinical agents in the industry. We are delivering abundance for the first time in healthcare by bringing deep clinical expertise to every human. No other technology has the potential to have this level of global impact on health. Come join the most capitalized healthcare AI company with the most deployed customers and the broadest platform of applications. Our highly mission-oriented team, coupled with innovative partners like the Cleveland Clinic, Baylor Scott & White, Northwestern, Wellspan, HCA, and Oschner, is building the most transformative company in healthcare in history.Why Join Our TeamInnovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions, including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.Strategic investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.For more information, visit www.HippocraticAI.com.OverviewWe are seeking an experienced Pharmaceutical Safety Medical Doctor with a proven background in health technology to join our cross-functional team as a Contract Medical Safety Expert. This role is central to developing and validating an AI-powered adverse event (AE) detection engine that can accurately identify and categorize FDA-reportable events from unstructured and structured medical data.This contractor will play a key role in helping Hippocratic AI create a robust system that meets regulatory standards and clinical expectations while working at the intersection of pharmacovigilance, clinical safety, and cutting-edge artificial intelligence.Key ResponsibilitiesSubject Matter Expertise: Provide expert clinical and regulatory guidance on pharmacovigilance, especially around US FDA requirements for AE reporting and MedWatch compliance.AI Model Development Collaboration:Partner with the AI/ML and Clinical Informatics teams to design annotation schemas and decision logic related to AE identification.Define clinically validated criteria to distinguish reportable vs. non-reportable events.Contribute to the design and refinement of classification taxonomies for adverse events, seriousness, and expectedness.Quality & Safety Oversight:Review model outputs and participate in error analysis of AI-generated AE classifications.Help define “safe fail” protocols for uncertain or ambiguous cases.Data Strategy Support:Inform data collection strategies and guide labeling/annotation efforts for adverse event corpora.Collaborate on test sets that simulate real-world AE reporting cases across various therapeutic areas.Regulatory Alignment:Ensure compliance with FDA pharmacovigilance standards (21 CFR Part 314, ICH E2A/E2D, etc.).Liaise with internal quality and regulatory stakeholders to audit model readiness for future deployment.Stakeholder Communication:Summarize clinical safety perspectives for cross-functional leadership and potential external partners.Contribute to documentation supporting FDA or regulatory body interactions, if required.Required QualificationsMD (Doctor of Medicine) with board certification strongly preferred.5+ years of experience in pharmacovigilance or drug safety within a pharma, biotech, or CRO environment.At least 2 years of experience collaborating with or working at a health tech or AI/ML-focused company, ideally involving clinical data or regulatory technology products.Strong familiarity with FDA AE reporting requirements, MedDRA, and ICH E2B guidelines.Clinical expertise in therapeutic areas such as primary care, internal medicine, or neurology is a plus.Experience working with or reviewing outputs from NLP/LLM or AI-based systems is highly desirable.Exceptional attention to detail, with a strong sense of clinical judgment and ethical responsibility.Nice to HaveExperience with AI model validation or human-in-the-loop review systems.Familiarity with tools like MedDRA, WHODrug, Argus Safety, or other AE signal detection platforms.Prior involvement in developing medical ontologies or rule-based decision frameworks.CompensationCompetitive hourly or monthly consulting rate (commensurate with experience).Flexible schedule with expected 10–20 hours/week depending on project phase.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, stop engaging immediately and report the incident.

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Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year. Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA. We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies. We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us! This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events. Engineering @ IroncladAs a Staff Software Engineer at Ironclad, you'll work cross-functionally to identify business problems and architect, build, and verify solutions. You'll build a platform that lets lawyers scale themselves and their businesses 100x more effectively. At Ironclad, we’ve built a product that brings a two thousand year old profession into the digital age, and you’ll play a pivotal role in driving the foundation forward.We seek experienced engineers with strong coding fundamentals and a track record of shipping high quality products. We work in a highly collaborative environment, and strive to foster a positive, inclusive culture and offer remote work flexibility. If you’d like to join us on our mission to build the product that legal teams love, let’s talk!What you'll doCreate and maintain foundational shared services used by all feature teams that reduce redundancy and support accelerated development, stability and scale across Ironclad.Collaborate cross-functionally with product managers, designers, and engineers to spec, design, and build impactful features and systems Lead the design and development of backend services within a large-scale monorepo, ensuring modular, maintainable, and well-tested code Architect and implement scalable, reliable systems that evolve with Ironclad's product and traffic growth Influence architecture decisions across teams and own long-term technical strategy—not just short-term deliverables Establish tooling and development patterns that improve productivity, observability, and system health across the monorepo Apply a data-driven approach to development—using metrics and experimentation to inform decisions, validate impact, and prioritize work Pair this with strong practices in instrumentation, observability, and experimentation (e.g. feature flags, telemetry) to enable measurable outcomes Demonstrate familiarity with emerging AI-powered tools and technologies, leveraging them to enhance developer workflows and intelligent system behavior Model high engineering standards through clear design docs, clean code, thorough testing, and operational excellence Drive execution by moving fast, focusing on impact, and being open in collaboration and feedback Champion Ironclad's values—including empathy and integrity—while helping grow the team by mentoring engineers and participating in hiring Build systems that contribute to Ironclad's mission of building social value through trustworthy and efficient contracting Work on a modern stack built upon: TypeScript, ReactJS, Node.js, Java, AlloyDB, Docker containers in Kubernetes on Google Cloud Platform (experience with these specific technologies not required)Benefits:Health, dental, and vision insurance401kWellness reimbursementTake what you need vacation policyGenerous parental leave for both primary and secondary caregiversBase Salary Range: $210,000 - $235,000The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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About UsHippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health.Why Join Our TeamInnovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft and NVIDIA.Strategic investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.The Role:We are seeking a Machine Learning Infrastructure Engineer to design, build, and manage the next-generation training and inference platform for LLMs. You will be at the heart of building scalable, efficient infrastructure that supports our researchers and engineers in training, serving, and experimenting with large models at scale. Your work will directly impact our ability to innovate with new architectures and training techniques in production environments.Key Responsibilities:LLM Training Infrastructure: Design and operate large-scale training clusters using Kubernetes and/or Slurm for LLM experimentation, fine-tuning, and RLHF workflows. Cluster & GPU Management: Own scheduling, autoscaling, resource allocation, and monitoring across high-performance GPU clusters (NVIDIA, AMD). Distributed Systems: Build and optimize distributed data pipelines using frameworks like Ray, enabling parallel training and inference jobs. Inference Optimization: Benchmark and optimize model serving performance with technologies like vLLM, and support autoscaling of inference workloads in production environments. Platform Reliability: Collaborate with infra and platform engineers to ensure system robustness, observability, and maintainability of ML workloads. Research Enablement: Partner closely with ML researchers to enable rapid experimentation through flexible and efficient infrastructure tooling. Preferred Qualifications:5+ years of experience in infrastructure, MLOps, or systems engineering, ideally with time spent in architect or staff-level roles. Proven experience managing large-scale Kubernetes or Slurm clusters for training or serving ML workloads. Strong proficiency in Python; familiarity with Go or Rust is a plus. Hands-on experience with Ray, vLLM, Hugging Face Transformers, and/or custom LLM training stacks. Deep understanding of GPU scheduling, container orchestration, and workload optimization across heterogeneous hardware. Experience with inference workloads, benchmarking, latency optimization, and cost-performance tradeoffs. Familiarity with Reinforcement Learning, particularly RLHF frameworks, is a strong plus. Contributions to internal platforms that enabled others to train or fine-tune LLMs efficiently.Bonus Skills:Exposure to multiple hardware platforms (e.g., H100s, A100s, MI300X). Experience with managing storage, IOPS performance, and object store integration for ML data. Familiarity with building observability into ML pipelines (e.g., Prometheus, Grafana, Datadog). Ability to present infra systems/platforms to technical stakeholders.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What You’ll DoDeploy and operate observability platforms for logging, metrics, and distributed tracing.Automate the deployment and operation of these observability systems.Set up monitoring for modern AI/HPC clusters.Develop platform software to make observability adoptable and improve system reliability across Lambda engineering.Lead members of other engineering teams to design and develop solutions for their monitoring challenges.YouHave 8+ years of experience in software engineering, with 3+ years in GoHave 5+ years of experience in Site Reliability Engineering practicesPossess proven understanding of Observability tools and practicesHave experience with application deployment and monitoring using KubernetesHave experience building CI/CD pipelinesExpect quality and reliability from the solutions you buildEnjoy collaborating across team boundaries to help our engineering teams meet their observability needs.Nice to HaveExperience monitoring AI systems or HPC clustersExperience with Prometheus and writing queries in PromQLExperience with messaging systems like NATSUnderstanding of the OpenTelemetry ecosystem and experience with both OTel instrumentation and the OTel collectorExperience with network monitoring, Ethernet and InfinibandUnderstanding of dashboard design principlesStrong understanding of Linux fundamentals and system administration.Experience with infrastructure automation tooling such as Ansible and TerraformSalary Range InformationBased on market data and other factors, the annual salary range for this position is $267K-$401K. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About HumanlyHumanly is revolutionizing talent acquisition with our AI-first recruiting platform, built to automate and orchestrate every step of the candidate journey—from first hello to final interview—across every channel.We help mid-market and enterprise teams hire in days, not months, by engaging 100% of interested candidates and surfacing the best-fit talent faster. Our platform delivers speed, structure, and consistency at scale—so hiring teams can focus on decisions, not logistics.We are a fast-growing Series A company and behind our tech is a team of bold, curious, and deeply human people. We move fast and build with purpose - for our customers, candidates, and each other. Our culture is built on collaboration, authenticity, and a shared belief that hiring can and should be better.Our headquarters is in Bellevue, WA, but our team spans the globe. The RoleOur founding designer has laid a strong foundation—design system, product patterns, and a human-centered culture. We’re looking for a single, high-impact product designer to inherit that legacy, drive day-to-day design needs, and level up our user experience as we scale from Series A growth to our next milestones. This is a hybrid position (Tuesday - Thursday) based out of our Bellevue office, reporting directly to the VP of Product.What You'll DoOwn the end-to-end product design cycle – from discovery and research through polished UI, prototypes, and dev hand-off.Maintain & evolve the design system – keep component libraries healthy, introduce new patterns, and document guidelines so engineering can move fast with confidence.Partner deeply with PM & Engineering – join weekly sprint planning, shape problem statements, and ship features that balance user value with technical constraints.Champion understanding users – plan and conduct interviews, usability testing, and rapid feedback loops; turn insights into actionable design improvements.Advance visual + interaction quality – raise the bar on typography, motion, accessibility, and micro-interactions across web and mobile experiences.Mentor by influence – upskill teammates in design thinking; run crits, workshops, and design jams even though you’re the only designer on the org chart.Measure impact – define success metrics with Product Analytics and how other teams build products and iterate relentlessly toward them.Prepare for scale – identify when and where we’ll need additional design resources; play an active role in shaping future hires and processes.What You'll Bring4+ yrs designing digital products end-to-end, ideally in early-stage or high-growth startups.Portfolio showing shipped work that solves complex problems with elegant solutions—include situation, action, and impact.Fluency and discipline in Figma (components, variables, auto-layout, dev-mode) plus prototyping tools of your choice (e.g., Framer, v0, Cursor, Lovable).Comfort with lean research: moderated tests, unmoderated studies, and quick surveys.Solid understanding of React/HTML/CSS fundamentals; ability to speak dev’s language and spot feasibility issues.Systems thinker who can understand the architecture of our current products and how it does or should impact the industryExcellent communication and over-communication: you can defend design decisions with data, empathy, and concise storytelling.Self-direction & prioritization: you thrive as a team of one, but never design in a silo.Bonus: experience standing up or evolving a mature design system; exposure to B2B SaaS or data-heavy products. What We OfferInfluence the future and help lead the way for ethical AI in recruiting.Collaborate with a diverse and passionate team dedicated to transforming the hiring landscapeCompetitive compensation + equityCompany sponsored medical, dental, and vision plans for employeesLearning & development stipend Wellness stipend 401(k) program 12 weeks fully paid parental leaveFlexible PTORecognition programs and prizesSummer Friday programCompany retreats and team building events!

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Your impactHandshake is looking for a Data Scientist, Product Analytics to help shape how we measure and grow the impact of our products across students, employers, and university partners. In this role, you’ll partner with product, engineering, and analytics stakeholders to deliver actionable insights and experimentation frameworks that guide key product and growth decisions. You’ll be embedded in our Data team and report to the Senior Manager of Data & Analytics. Your roleAs a Data Scientist at Handshake, you will:Collaborate with product managers and engineers to identify key metrics and drive analytics workstreamsAnalyze user behavior to uncover trends, patterns, and opportunities for product improvementContribute to experiment design, implementation, and analysis to guide feature developmentBuild and maintain dashboards and reports to support ongoing tracking and decision-makingHelp define and refine data models in partnership with Analytics EngineeringTranslate complex data findings into clear, actionable insights for cross-functional stakeholdersYour experience3+ years of professional data science experienceExperience using data to support product development, including working with cross-functional teamsProficiency in SQL and comfort working in Jupyter-style notebooks using Python or RAwareness with A/B testing and experimentation best practicesAbility to conduct analysis across user cohorts, funnels, and time-series datasetsRobust written and verbal communication skills, especially in summarizing insights for non-technical audiencesExperience with BI tools such as Looker, Hex, or ModeBonus areas of expertiseExposure to product analytics in a multi-sided marketplaceKnowledge with dbt or similar data modeling frameworksPrior experience contributing to data-informed product strategiesAbout usHandshake is the career platform for Gen Z. With a community of over 17 million students, alumni, employers, and career educators, Handshake’s network is where career advice and discovery turn into first, second, and third jobs. Nearly 1 million companies use Handshake to build their future workforce—from Fortune 500 to federal agencies, school districts to startups, healthcare systems to small businesses. Handshake is built for where you’re going, not where you’ve been.When it comes to our workforce strategy, we’ve thought deeply about how work-life should look at Handshake. With our hybrid-work model, employees benefit from collaboration and shared team experiences three days per week in our vibrant offices, and enjoy the flexibility of remote work two days per week (unless noted in the specific job posting). Handshake is headquartered in San Francisco, with offices in New York, London, and Berlin.What we offerAt Handshake, we'll give you the tools to feel healthy, happy and secure.Benefits below apply to US employees in full-time positions.💰 Equity and ownership in a fast-growing company.🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.📚 Generous learning & development opportunities and an annual $2,000 stipend for you to grow your skills and career.💰 Financial coaching through Origin to help you through your financial journey.🛜 Monthly internet stipend and a brand new MacBook to allow you to do your best work.🚃 Monthly commuter stipend for you to expense your travel to the office (for office-based employees).🥗 Free lunch provided 3x a week across all offices.🤝 Referral bonus to reward you when you bring great talent to Handshake.🏦 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.🏝 All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.💻 Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.🍼 Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming!💰 Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more.Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.

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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?In this role as a Solutions Architect at Cohere, you will play a significant role in growing Cohere’s Canadian Public Sector business and have a great deal of autonomy when it comes to technical pre-sales and post-sales.Responsibilities include developing a deep understanding of customer problems, mapping them to Cohere solutions, and working closely with our partners as the trusted technical advisor who owns the technical relationship with our stakeholders. By leveraging your expertise, you will help to increase the adoption of Cohere products, both internally and externally, and will gather valuable insights and feedback from customers to help shape the future of our products.In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer Proof of Concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.A typical day at Cohere might include:Leading the technical talk track on customer calls.Deep dives on customer problems and Cohere technology.Designing novel enterprise solutions with bleeding-edge NLP technology.Facilitating customer evaluations and PoC’s.Developing and documenting processes to enable the solutions architect team to scale effectively within Cohere.Collaborating with the Product and Engineering teams to ensure our offering matches the customers’ needs.Working closely with our partners to develop a strategy for enabling and accelerating their customers.This career opportunity is a good match for you if you have:Security Clearance is highly preferred.5+ years of Canadian public sector customer-facing technical pre/post sales Solutions Architect (or similar) experience.2+ years architecting or deploying NLP/AI/LLM Solutions.A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's and AI technologies.Comfortable working with Python and Jupyter Notebooks.Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds or white boarding with technical audiences.High tolerance for ambiguity.You can identify and implement high-impact processes in unstructured environments.Preferred: Experience managing Kubernetes clustersPreferred: Experience with networking (firewalls, DNS, cert management, etc)Preferred: Familiarity with authentication protocols/frameworks (SAML, OAuth, etc)If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.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 6 months for employees based in Canada, the US, and the UK🎨 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 and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating, evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.The RoleAs a Strategy & Growth Executive , you will partner directly with CEOs and C-suite executives to drive AI-led transformation for the world's most influential companies. You will identify high-impact AI opportunities, shape billion-dollar strategic initiatives, and lead executive-level engagements that drive measurable competitive advantage. This is a high-impact, high-visibility role that demands exceptional strategic thinking, robust relationship-building skills, and expert level deal execution. You will be at the forefront of shaping the future of AI adoption at scale—from identifying transformation opportunities to closing large-scale strategic partnerships.Key ResponsibilitiesExecutive Advisory: Provide guidance to CXOs on AI-driven competitive strategies and enterprise transformation.Opportunity Creation: Proactively identify opportunities, shape, and drive AI-led business transformations that unlock revenue streams and generate substantial enterprise value.CXO Engagement: Establish and maintain deep, trusted relationships with executive leaders.Strategic Deal-Making: Lead negotiations, and close $XXmm+ partnerships that create $XXXmm+ impact.Market Intelligence: Monitor AI adoption patterns, emerging enterprise trends, and industry shifts to inform strategic decisions. Technology & Culture Curiosity: Develop a deep understanding of Distyl’s AI capabilities, company ethos, and mission.Qualifications & ExperienceProven success in leading and delivering a $XXmm+ strategic initiative.Experience advising Fortune Global 1000 executives or political leaders, showcasing your ability to navigate high-stakes decision-makingA strong desire to work closely with technologists and actively seek and integrate constructive feedback.Deep understanding of AI technology or of enterprise transformation – ideally both.Exceptional storytelling and communication skills to effectively influence diverse audiences.Demonstrated resilience, adaptability and a passion for innovation in dynamic environments.  Why Join Us?Shape the Future: Lead AI transformations that will re-define the next century’s most influential companies.Pick and Build the Winners: Work with top enterprises to identify, transform, and scale the winners of the AI Economy.Operate at the Highest Level: Engage directly with CEOs and C-suite executives to drive billion-dollar impact.High-Growth, High-Upside: Be a key player in a hyper-growth startup backed by the best in AI and enterprise, with a tremendous upside.Elite Team, Mission-Driven Culture: Work with top AI talent that emphasizes high-impact, deep-ownership and a shared mission for excellence..

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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.Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you: Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term. Sample Projects: Optimizing the throughput of novel attention mechanisms Comparing compute efficiency of different Transformer variants Preparing large-scale datasets for efficient model consumption Scaling distributed training jobs to thousands of GPUs Designing fault tolerance strategies for our training infrastructure Creating interactive visualizations of model internals, such as attention patterns At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech. If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you!The expected salary range for this position is:Annual Salary:$340,000—$425,000 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 Rad AIAt Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.If you’re ready to shape the future of healthcare, we’d love to have you on our team!Why Join Us:We’re seeking a Senior Software Engineer with full stack (any mix of front end, backend, and database) experience to join our team building the future of radiology. This role will work alongside our high-performing cross-functional team of Full Stack Engineers, ML Engineers, Platform Engineers, and Product Leaders, and various other teams internally and externally to develop this responsive and performant application.What You’ll Be Doing:Develop on large-scale progressive and single page web applications that streamline user workflows and increase their efficiency and effectivenessWork on a modern Javascript (React/Typescript) frontend applicationDevelop our Python, FastAPI backend services including a REST API and ML pipeline servicesBuild new features that support our rapidly growing number of customersWrite code that meets our internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environmentWork with Product Management, UX, Customer Success and other stakeholders to iterate on new features and address defectsAdvocate for improvements to product quality, security, and performance that have a particular impact across your teamWho We’re Looking For:5+ years of industry full stack engineering experience with single and multi-tenanted environmentsIn-depth knowledge of Javascript / TypeScript, Python and FastAPI, or equivalent modern languages/frameworksKnowledge of relational and document based databases, as well as other large scale data storage paradigmsKnowledge of modern web architecture and best practicesFluency with HTML, CSS, responsive design, and other related web technologiesFamiliarity with cross-browser compatibility, accessibility, browser networking, and browser APIs such as IndexedDB and WebSockets.Experience with unit and integration testingExperience working on a distributed team and strong version control skills using gitExperience with performance and optimization problems, particularly at large scale, and a demonstrated ability to diagnose and prevent these problemsNice to Haves:Experience with ReactExperience with Starlette, SQLAlchemyExperience with PostgreSQLExperience with 3rd-party integrations such as Auth0, AmplitudeExperience working at an early-stage startupExperience in a HIPAA-compliant environment, especially with FHIR and HL7Experience working on machine learningJoin our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:Comprehensive Medical, Dental, Vision & Life insuranceHSA (with employer match), FSA, & DCFSA 401(k)11 Paid Company HolidaysLocation Flexibility (Remote-first company!)Flexible PTO policyAnnual company-wide offsitePeriodic team offsitesAnnual equipment stipendFor roles based outside the US, your recruiter can share more detailsAt Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

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EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.We are inventing the next generation of document intelligence and conversation automation. Our platform pairs cutting‑edge large‑language‑model research with a deep understanding of medical, legal, and insurance workflows to unlock tasks that—until now—had almost zero automation. Think: auto‑triaging thousands of pages of medical records for a personal‑injury case in seconds, at scale. Because the generative‑AI frontier moves daily, we operate like an applied‑research lab: rapid pilots, direct user feedback, and a short path from idea to production. You’ll join a small team of distinguished engineers, AI researchers, and legal experts. Your mandate: push the state of the art and ship. Expect to prototype novel methods on Monday, validate with real case data by Friday, and see your code in the product a month later. What You’ll DoResearch & Prototype Design and evaluate new approaches in retrieval‑augmented generation, tool‑use agents, multimodal LLMs, or self‑supervised document representation—whichever unlocks the next pain‑point for our users.Domain Adaptation Fine‑tune and align models to the quirks of long, jargon‑dense medical/legal corpora (ICD codes, CPTs, deposition transcripts, insurance clauses).Agentic Systems Build and benchmark autonomous chains that decide when to call OCR, which precedents to cite, or how to interview a claimant—all with safety and auditability baked in.Measurement & Safety Create eval suites for factuality, legal soundness, and bias. Propose mitigations where gaps appear.Publish & Share If your work advances the field, we’ll support conference submissions—credit where credit is due.Minimum QualificationsPursuing a Ph.D. in CS, ECE, Statistics, or related field with a research focus in ML / NLP / Generative AI.Strong grasp of modern LLM architectures (transformers, attention variants), training/fine‑tuning pipelines (LoRA, PEFT, RL‑HF), and evaluation methods.Fluency in Python.Demonstrated ability to turn research ideas into working prototypes (open‑source projects, or industry experience).Intellectual curiosity, rapid learning loop, and the grit to thrive in an ambiguous, 0‑to‑1 environment.Nice‑to‑HavesExperience with agent frameworks (e.g., LangGraph, AutoGen) or building tool‑using LLM agents from scratch.Hands‑on with long‑context or multimodal models.Familiarity with vector databases, RAG orchestration, or document triage pipelines (OCR, layout parsing).What You’ll GainImpact on Day 1 – Your code runs on live cases, not in a sandbox.Mentorship – Weekly 1‑on‑1s with our Head of AI and access to attorneys for domain deep‑dives.Publication Support – Travel stipend and legal review for papers or posters.Conversion Path – High‑performing interns are first‑in‑line for full‑time research scientist or ML engineer offers.This is a paid internship and compensation is determined by a number of factors from location, research and impact. Notice to Candidates:EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com or no-reply@ashbyhq.com email address.To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page.If you receive communication from someone you believe is impersonating EvenUp, please report it to us at talent-ops-team@evenuplaw.com. Examples of fraudulent domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”.Benefits & Perks:As part of our total rewards package, we offer attractive benefits and perks to our employees, including:Choice of medical, dental, and vision insurance plans for you and your familyAdditional insurance coverage options for life, accident, or critical illnessFlexible paid time off, sick leave, short-term and long-term disability10 US observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for US-based employees and RRSP for Canada-based employeesPaid parental leaveA local in-person meet-up programHubs in San Francisco and TorontoPlease note the above benefits & perks are for full-time employeesEvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this team?This team is responsible for building world-class infrastructure that is critical to all of Cohere’s success. Focus on stability, scalability, and observability are all paramount as this work acts as the foundation for all members of technical staff.Our team optimizes for a wide range of technical skillsets (some of which are outlined below). Being self-directed and adaptable, identifying and solving key problems are essential.Please Note: All of our infrastructure roles require participating in a 24x7 on-call rotation, where you are compensated for your on-call schedule.As a Software Engineer, you will:Build self-service systems that automate managing, deploying and operating services.This includes our custom Kubernetes operators that support language model deployments.Automate environment observability and resilience. Enable all developers to troubleshoot and resolve problems.Take steps required to ensure we hit defined SLOs, including participation in an on-call rotation.Build strong relationships with internal developers and influence the Infrastructure team’s roadmap based on their feedback.Develop our team through knowledge sharing and an active review process.You may be a good fit if:You have proven production experience with Kubernetes.You’re skilled in managing GPU-accelerated workloads within Kubernetes environments, with experience in scaling and debugging cloud-based infrastructureYou have hands-on coding experience developing services and automated tests (experience with Go and Python is plus!).You prefer contributing to Open Source solutions rather than building solutions from the ground up.You have experience scaling and debugging cloud-based infrastructure (such as Oracle, GCP, and Coreweave).You draw motivation from building systems that help others be more productive.You see mentorship, knowledge transfer, and review as essential prerequisites for a healthy team.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.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 6 months for employees based in Canada, the US, and the UK🎨 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 and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About you:have done something remarkablego from 0 → 1 on an idea before breakfastalways learninghave undeniable real-world proof-of-talent you can share with usbelieve in manifesting the future of physical engineeringAbout us:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in model-based engineering, deep learning, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries. We invite you to join our team of the world’s best engineers and AI researchers, building AI’s most impactful use case.In summary:we are on a missionmultiple hats is the normno politics, low bureaucracyfast, data-driven decision-making; velocity and agility are everythingbelieve in manifesting the future of physical engineeringAbout the role:We are a small team tackling an ambitious problem. If we are successful, it will change the course of history. As such we have a very high talent bar and are looking for people who have done something remarkable. This is a generalist role for a SWE heavyweight that will need to tackle the full gamut of engineering challenges: architecture, front-end, back-end, full-stack, infrastructure, etc. with a wide assortment of tools. We don’t care if you’ve done it before. We just need you to be brilliant, mission-driven, and thirsty to learn.This role can be either remote (based in US or Canada and with existing work authorization) or based in our SF office. If you are remote, you should plan to spend one week out of six co-working with the rest of the company in our SF office. We will support relocation for candidates interested in moving to SF.Interview process:Initial screening - with Head of Talent (30 mins)Hiring manager interview - with co-founder & Head of Engineering (45 mins)Programming interview (60 mins)Bring your own dev environment and toolsCulture fit / Q&A - with co-founder & CEO (45 mins)

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About the TeamAt OpenAI, we’re building safe and beneficial artificial general intelligence. We deploy our models through ChatGPT, our APIs, and other cutting-edge products. Behind the scenes, making these systems fast, reliable, and cost-efficient requires world-class infrastructure.The Caching Infrastructure team is responsible for building a caching layer that powers many critical use cases at OpenAI. We aim to provide a high-availability, multi-tenant cache platform that scales automatically with workload, minimizes tail latency, and supports a diverse range of use cases.We’re looking for an experienced engineer to help design and scale this critical infrastructure. The ideal candidate has deep experience in distributed caching systems (e.g., Redis, Memcached), networking fundamentals, and Kubernetes-based service orchestration.In This Role, You Will:Design, build, and operate OpenAI’s multi-tenant caching platform used across inference, identity, quota, and product experiences.Define the long-term vision and roadmap for caching as a core infra capability, balancing performance, durability, and cost.Collaborate with other infra teams (e.g., networking, observability, databases) and product teams to ensure our caching platform meets their needs.You Might Thrive In This Role If You:Have 5+ years of experience building and scaling distributed systems, with a strong focus on caching, load balancing, or storage systems.Have deep expertise with Redis, Memcached, or similar solutions, including clustering, durability configurations, client-side connection patterns, and performance tuning.Have production experience with Kubernetes, service meshes (e.g., Envoy), and autoscaling systems.Think rigorously about latency, reliability, throughput, and cost in designing platform capabilities.Thrive in a fast-paced environment and enjoy balancing pragmatic engineering with long-term technical excellence.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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamThe Core Services team is responsible for building and managing foundational services. It acts as the bridge between core infrastructure (e.g. compute, storage, networking) and product engineering teams, and enables product teams to move fast, build reliably, and scale efficiently.About the RoleAs a software engineer in the core services team, you will design and operate critical backend platforms such as caching systems, workflow orchestration, metadata stores, and file services. You’ll focus on building highly reliable, scalable, and performant systems that serve as the backbone of our products.We’re looking for people who are passionate about building infrastructure that empowers product teams, love working on distributed systems challenges, and enjoy creating well-designed APIs and abstractions that accelerate development.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Design, build, and maintain shared infrastructure services such as caching layers, workflow orchestration (Temporal), metadata stores, and file storage services.Collaborate with product teams to provide scalable, reliable primitives that abstract the complexities of distributed systems.Improve performance, resilience, and scalability of core services that power customer-facing applications.You might thrive in this role if you:Have experience with distributed systems, caching infrastructure (e.g., Redis, Memcached), metadata storage (e.g., FoundationDB), or workflow orchestration (e.g., Temporal, Cadence).Have experience running containerized services in cloud environments and integrating them into automated build/test/release (CI/CD) workflows.Understand trade-offs in consistency models, replication strategies, and performance optimization in multi-region systems.Excel at communication and collaboration with cross-functional teams, and are obsessed with delivering customer success.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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.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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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 Join Us?At Cohere, we’re not building AI for novelty—we’re solving real, hard problems for enterprise customers. Join us if you’re excited about working at the intersection of frontier AI and practical impact.We are looking for a Machine Learning Manager to lead our East Coast Applied ML team in building and delivering cutting-edge AI solutions tailored for enterprise customers. This is a high-impact leadership role that combines strategic direction, technical oversight, and customer collaboration. You’ll manage a world-class team of ML engineers focused on building scalable, production-grade systems—working across modalities and domains such as reasoning, code, RAG, tools, and agents.The ideal candidate brings deep expertise in AI/ML, a strong track record of building and mentoring high-performing teams, and the ability to turn complex technical capabilities into real business outcomes.Key ResponsibilitiesStrategic LeadershipDefine and drive the long-term vision for the Applied ML team in alignment with Cohere’s product and business goals.Shape the roadmap for custom model development, fine-tuning, and advanced implementations that address nuanced enterprise challenges.Collaborate closely with executive leadership to prioritize high-impact initiatives and strategic customer engagements.Team ManagementLead and grow a high-performing team of ML engineers through hiring, coaching, and mentorship.Foster a culture of ownership, innovation, and continuous learning.Establish and evolve team processes to maximize productivity and execution speed.Product & Technical InnovationPartner with Product to define and deliver novel, scalable ML solutions that differentiate Cohere in the market.Guide the development of reusable frameworks and abstractions that streamline deployment across customer use cases.Oversee performance optimization and evaluation of models in real-world enterprise environments.Customer EngagementAct as a trusted technical advisor to strategic customers—translating needs into actionable plans.Lead delivery efforts from prototyping through to production deployment on customer infrastructure.Ideal Candidate ProfileExperienceBachelor’s degree in Computer Science, Machine Learning, or a related field (Master’s or PhD preferred).8+ years in AI/ML, including several years in technical leadership roles.Proven success leading large ML teams and delivering complex AI solutions at scale.Experience with enterprise deployments, including custom model development and fine-tuning.Technical ExpertiseDeep understanding of LLMs, their training, deployment, and real-world constraints.Hands-on experience with RAG pipelines, agentic systems, and multi-modal applications.Proficiency in ML frameworks such as PyTorch or TensorFlow.Familiarity with modern cloud platforms (AWS, GCP, Azure) and ML infrastructure best practices.Strategic & Business AcumenStrong ability to translate business requirements into scalable ML solutions.Track record of product thinking and technical decision-making aligned with customer needs.Communication & LeadershipExceptional communicator, capable of aligning technical execution with business goals.Experienced mentor who inspires excellence, collaboration, and growth in technical teams.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.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 6 months for employees based in Canada, the US, and the UK🎨 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 and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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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 Join Us?At Cohere, we’re not building AI for novelty—we’re solving real, hard problems for enterprise customers. Join us if you’re excited about working at the intersection of frontier AI and practical impact.We are looking for a Machine Learning Manager to lead our West Coast Applied ML team in building and delivering cutting-edge AI solutions tailored for enterprise customers. This is a high-impact leadership role that combines strategic direction, technical oversight, and customer collaboration. You’ll manage a world-class team of ML engineers focused on building scalable, production-grade systems—working across modalities and domains such as reasoning, code, RAG, tools, and agents.The ideal candidate brings deep expertise in AI/ML, a strong track record of building and mentoring high-performing teams, and the ability to turn complex technical capabilities into real business outcomes.Key ResponsibilitiesStrategic LeadershipDefine and drive the long-term vision for the Applied ML team in alignment with Cohere’s product and business goals.Shape the roadmap for custom model development, fine-tuning, and advanced implementations that address nuanced enterprise challenges.Collaborate closely with executive leadership to prioritize high-impact initiatives and strategic customer engagements.Team ManagementLead and grow a high-performing team of ML engineers through hiring, coaching, and mentorship.Foster a culture of ownership, innovation, and continuous learning.Establish and evolve team processes to maximize productivity and execution speed.Product & Technical InnovationPartner with Product to define and deliver novel, scalable ML solutions that differentiate Cohere in the market.Guide the development of reusable frameworks and abstractions that streamline deployment across customer use cases.Oversee performance optimization and evaluation of models in real-world enterprise environments.Customer EngagementAct as a trusted technical advisor to strategic customers—translating needs into actionable plans.Lead delivery efforts from prototyping through to production deployment on customer infrastructure.Ideal Candidate ProfileExperienceBachelor’s degree in Computer Science, Machine Learning, or a related field (Master’s or PhD preferred).8+ years in AI/ML, including several years in technical leadership roles.Proven success leading large ML teams and delivering complex AI solutions at scale.Experience with enterprise deployments, including custom model development and fine-tuning.Technical ExpertiseDeep understanding of LLMs, their training, deployment, and real-world constraints.Hands-on experience with RAG pipelines, agentic systems, and multi-modal applications.Proficiency in ML frameworks such as PyTorch or TensorFlow.Familiarity with modern cloud platforms (AWS, GCP, Azure) and ML infrastructure best practices.Strategic & Business AcumenStrong ability to translate business requirements into scalable ML solutions.Track record of product thinking and technical decision-making aligned with customer needs.Communication & LeadershipExceptional communicator, capable of aligning technical execution with business goals.Experienced mentor who inspires excellence, collaboration, and growth in technical teams.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.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 6 months for employees based in Canada, the US, and the UK🎨 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 and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About the teamAt OpenAI, we believe that artificial general intelligence (AGI) should benefit all of humanity. To make this real, our team helps organizations worldwide unlock AI’s potential while upholding OpenAI’s values of safety, responsibility, and transparency.On Readiness we aim to equip our team with the skills, knowledge, and capabilities required to deploy advanced A(G)I safely and effectively. Our strategy focuses on fostering a consultative approach rooted in technical expertise, driving value from our proximity to leading research, and a readiness to adapt with the rapid evolution of AI.About the roleAs a Regional GTM Enablement Lead, you will drive AI readiness in your region, ensuring customers and partners have the knowledge, tools, and support they need to succeed. You’ll tailor global strategies to local needs, gather insights to influence our priorities and approach, and enable our team and organizations to deploy AI with confidence. This role blends technical know-how, local awareness, and a drive to continuously learn and share.In this role, you will:Embed within the regional team as a trusted partner, identifying high-impact problems and driving forward solutions. Establish a learning and practitioner culture by driving knowledge sharing, hands-on training, and  group sessions.Design and lead the Regional Readiness Plan to support OpenAI priorities, in close coordination with local leaders, teams and HQ partners.Tailor strategies, playbooks and resources to resonate with local markets. Keep a real-time pulse on local team and customer needs, market trends, and any gaps in readiness; share insights to help shape our global strategy.Represent OpenAI at regional events, conferences, and community forums, advocating for our technology and values in ways that resonate with local audiences.You’ll thrive in this role if you:Have real-world experience applying AI (preferably with OpenAI or similar tools) and a solid technical foundation, ideally in AI/ML or developer-focused technology.Bring 6+ years in a customer-facing technical role e.g., Developer Relations, Technical Account Management, Customer Success, or Technical Product Marketing.Understand regional cultural nuances, regulatory constraints, and business realities that shape local AI adoption.Have a deep understanding of GTM teams—roles, motivations, and goals—so you can build impactful enablement programs.Excel at gathering feedback and distilling complex concepts into accessible, engaging formats that inform strategy and drive decisions. Create clear content—from playbooks and documentation to how-to guides—tailored to both technical and non-technical audiences.Eager to help your colleagues and build strong partnership, maintaining a humble, collaborative approach.Adapt quickly in a fast-moving environment, proactively identifying problems and owning them end-to-end.Enjoy connecting with local communities and empowering early adopters through creative programs and events.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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.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.