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HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.HackerOne ValuesHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.Position SummaryAt HackerOne, we’re revolutionizing offensive security by combining human intelligence with artificial intelligence to help organizations build a safer internet. As an AI Engineer on our AI Platform team, you will contribute to the development of next-generation AI security capabilities, including our in-platform AI security agent, Hai. You will implement AI-powered features that enhance vulnerability discovery, improve security analysis workflows, and expand how thousands of customers detect and respond to emerging threats.At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of Seattle, WA or Austin, TX. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work. Must be able and willing to come to the office once per week on Thursdays.Primary ResponsibilitiesSuccess in the AI Engineer role will be accomplished by delivering on the responsibilities below in alignment with the Values and Talent Principles that define how we work at HackerOne.Apply an AI First mindset by building and integrating AI capabilities such as LLM-powered workflows, RAG pipelines, or orchestration components that enhance vulnerability detection and security automation.Demonstrate First Principles Problem Solving by breaking down AI and security challenges into clear components, identifying core assumptions, and implementing simple, maintainable solutions.Use Data-Driven Decision Making to evaluate model performance, test hypotheses, analyze telemetry, and iterate on features based on measurable impact.Practice Change Agility by adapting to evolving AI frameworks, product requirements, and security considerations while maintaining delivery momentum.Contribute to the development of our AI security agent, Hai, implementing features that enable natural language insights, reasoning workflows, and secure model interactions. Build and maintain APIs and services that enable secure interactions between AI models, internal systems, and third-party platforms.Partner cross-functionally with Product, Security Research, and Customer Success to clarify requirements, translate user needs into technical tasks, and deliver reliable solutions.Stay current with emerging AI and AI security trends, sharing learnings with the team and incorporating relevant advancements into your work.Minimum Qualifications3+ years of experience as a software engineer, with hands-on experience building production systemsExperience integrating LLMs or generative AI models into applications Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or HuggingFace TransformersMust be able and willing to come to the office once per week (typically Thursdays)Preferred QualificationsFamiliarity with agentic frameworks such as ReAct, AutoGen, LangChain, or Semantic KernelExperience with RAG architectures, prompt engineering, fine-tuning, or LLM evaluation techniquesExposure to cloud AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML)Familiarity with full-stack technologies such as Ruby on Rails, GraphQL, or React for integrating AI features into production systemsCompensation Bands:Seattle or Austin$166K – $203K • Offers Equity#LI-HM1Job Benefits:Health (medical, vision, dental), life, and disability insurance*Equity stock optionsRetirement plansPaid public holidays and unlimited PTOPaid maternity and parental leaveLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)Employee Assistance Program*Eligibility may differ by countryWe're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

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HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.HackerOne ValuesHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.Staff Software Applied AI EngineerLocation: Seattle, WA or Austin, TXPosition SummaryAt HackerOne, we’re advancing a new era of AI-powered offensive security. As a Staff AI Engineer, you’ll help shape the evolution of our autonomous HAI platform, driving the integration of advanced AI and agentic frameworks into HackerOne’s products.You will build intelligent security agents that reason, act, and learn — helping security teams identify, validate, and remediate vulnerabilities faster than ever. This is a high-impact technical role, reporting to the VP, AI Engineering, where you will architect the systems and frameworks that power the next generation of AI-driven vulnerability discovery.At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a role targeted for candidates within ~50 miles of Seattle, WA or Austin, TX. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work. Must be able and willing to come to the office once per week on Thursdays.What You Will DoSuccess in the Staff AI Engineer role will be accomplished by delivering on the responsibilities below in alignment with the Talent Principles that define how we work at HackerOne.Architect and enhance our autonomous security agent “Hai,” building intelligent systems capable of natural-language reasoning, vulnerability detection, and actionable recommendations, all grounded in an AI-First mindset.Build components and services that integrate agentic AI design patterns—such as orchestration, memory systems, RAG, long-horizon tasks, and LLM-based models—into the HackerOne platform, applying an AI-First approach to improve vulnerability detection and security automation.Partner across Product, Security Research, and Engineering to introduce AI capabilities into the broader HackerOne ecosystem. As the company evolves rapidly, bring clarity and stability to shifting requirements by demonstrating strong Change Agility.Design and implement AI red-teaming agents and frameworks that proactively surface weaknesses in LLMs, generative-AI systems, and applied AI deployments, using First Principles Problem Solving to break problems down and build durable, foundational solutions.Establish meaningful metrics, observability, evaluation frameworks, and continuous feedback loops to improve model performance, safety, and user impact—ensuring decisions are grounded in Data-Driven Decision Making.Stay current with emerging AI safety research, adversarial-testing techniques, and agentic-system patterns, and integrate those learnings into HackerOne’s responsible-AI strategy with adaptability and a growth-oriented Change Agility mindset.Build APIs and integrations that enable seamless interaction between AI models, security tools, and the broader HackerOne platform, ensuring security, scalability, and interoperability across systems.Minimum Qualifications8+ years of experience as a software engineer, including deep experience building and maintaining production-grade AI platforms and infrastructure.Must be able and willing to come to the office once per week (typically Thursdays).Proven expertise in large language models (LLMs), generative AI, and machine learning frameworks such as TensorFlow, PyTorch, and Transformers in production environments.Strong hands-on experience in AI platform engineering, including model deployment, MLOps pipelines, model serving infrastructure, and shared AI services architecture.Experience building systems that support multiple AI product teams and applications, enabling scalable experimentation and deployment.Solid understanding of AI safety and alignment principles, including responsible AI development, bias mitigation, and ethical AI practices.Preferred QualificationsExperience building AI development platforms, model registries, experimentation frameworks, and tools that accelerate AI innovation across organizations.Familiarity with ReAct, AutoGen, or Semantic Kernel for agentic orchestration and multi-agent collaboration.Experience in agent action routing, secure tool usage APIs, and feedback loops for autonomous agents.Knowledge of prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and advanced LLM optimization strategies.Experience with cloud-based AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML) and containerization technologies (Docker, Kubernetes) for AI workloads.Familiarity with Ruby on Rails, GraphQL, and React, and experience integrating AI capabilities into production web applications and APIs.Compensation Bands:Seattle or Austin$230K – $280K • Offers Equity#LI-HM1Job Benefits:Health (medical, vision, dental), life, and disability insurance*Equity stock optionsRetirement plansPaid public holidays and unlimited PTOPaid maternity and parental leaveLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)Employee Assistance Program*Eligibility may differ by countryWe're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

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About CartesiaOur mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text—1B text tokens, 10B audio tokens and 1T video tokens—let alone do this on-device.We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.About the RoleWe’re hiring a Forward Deployed Engineer to advance our mission of building real-time multimodal intelligence by embedding directly with enterprise customers and delivering agentic voice AI solutions into their production environments. FDEs maximize customer success and revenue by turning Cartesia’s core product into deployed, high-impact solutions.Your ImpactWrite and ship production-grade code – Design, build, and deploy voice AI systems that power real enterprise workflows.Own deployments end-to-end – Lead discovery, architecture, implementation, and rollout for strategic customer engagements. Drive progress in ambiguity – Move projects forward when requirements are incomplete, constraints evolve, or systems fail in unexpected ways.Deliver across complex infrastructure – Deploy across cloud, VPC, and on-prem environments while navigating security, networking, and compliance requirements.Unblock critical integrations – Diagnose and resolve integration failures, performance bottlenecks, and deployment issues under real-world constraints.Drive expansion through building – Identify new use cases and prototype solutions that deepen adoption and increase long-term customer value.Turn customer signal into platform leverage – Surface recurring patterns to engineering and product teams, influencing roadmap and reusable capabilities.Build for scale – Transform one-off solutions into repeatable playbooks, templates, and reference architectures. What You Bring4+ years of experience building and operating production software systemsStrong backend engineering fundamentals and a track record of delivering reliable systemsExperience integrating APIs and distributed services into real-world infrastructureComfort operating across cloud and containerized environments (AWS, GCP, Kubernetes)Experience navigating enterprise constraints: authentication, networking, observability, and security reviewsAbility to take ambiguous problems, define structure, and drive them to resolutionHigh ownership and bias for action — you move quickly without waiting for perfect specsClear, structured communicator comfortable engaging with senior technical stakeholdersNice-to-HaveExperience in forward-deployed, solutions, implementation, or customer-facing engineering rolesExperience deploying AI/ML systems into production environmentsFamiliarity with real-time systems (voice, streaming APIs, telephony, low-latency systems)Experience with on-prem or hybrid infrastructure deploymentsStartup or founder experienceWhat We Offer🍽 Lunch, dinner and snacks at the office.🏥 Fully covered medical, dental, and vision insurance for employees.🏦 401(k).✈️ Relocation and immigration support.🦖 Your own personal Yoshi.Our Culture🏢 We’re an in-person team based out of San Francisco. We love being in the office, hanging out together, and learning from each other every day.🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.

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About Us:Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. Companies like Suno, Lovable, and Substack rely on Modal to move from prototype to production without the burden of managing infrastructure.We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B at a $1.1B valuation. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno.Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.The Role:We are looking for strong engineers with experience training production machine learning models. If you are interested in contributing to open-source projects and evolving Modal's infrastructure to train the next generation of language models, we'd love to hear from you!Requirements:5+ years of experience writing high-quality, high-performance code.Experience working with torch and high-level training frameworks (Huggingface, verl, slime)Experience with ML training optimization (tell us a story about eliminating data loading bottlenecks, overlapping communications with compute, rewriting a trainer to handle off-policy rollouts, etc.)Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc).Ability to work in-person, in our NYC or San Francisco office.

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About LangChainAt LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.About the roleIn person 5 days/week in San Francisco, CA or New York, NYWe're building purpose-built infrastructure for running AI agents. Unlike traditional web apps, agents run for long durations, collaborate asynchronously with humans and other agents, and need to survive failures mid-execution. LangSmith Deployments is the runtime that makes this work, with durable checkpointing, fault-tolerant orchestration, and horizontal scaling, deployed across cloud and self-hosted environments. We're looking for a Senior Backend Engineer to work on this system. While the focus is on backend development, strong familiarity with Kubernetes (K8s), Terraform (Tf), and other DevOps tooling is highly preferred.Design distributed queue and worker systems that handle concurrent agent execution, background tasks, and multi-agent coordination across horizontally scalable infrastructureOwn core data infrastructure — state persistence, atomic job claiming, connection management, and schema evolutionCollaborate on architectural decisions, ensuring solutions are scalable and robust.Ship resumable streaming infrastructure so clients can disconnect and reconnect mid-execution without losing stateInstrument and monitor production systems — tracing, metrics, and alerting to keep the platform healthyParticipate in on-call rotations and own incident response for the runtimeCreate and maintain technical documentation, including system design and operational runbooks.Contribute to and extend open-source LangGraph, which is used by thousands of developers to build agent applicationsHow to be successful in this role4+ years of professional backend engineering experienceStrong proficiency in Go and/or pythonExperience with distributed systems — conensus mechanisms, queueing, state machines, and/or workflow orchestrationExperience with scaling and sharding databases in high throughput environmentsFamiliarity with Kubernetes, infrastructure-as-code, and at least one major cloud platformStrong communication skills and ability to work cross-functionally on a small teamCompensation & BenefitsWe offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.Annual salary range: $175,000-$225,00 USD

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About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What you’ll be doing Build & Deploy Agents: Own the full AI agent build process - prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement: Lead weekly demos, show progress, gather feedback, and act as the primary technical point of contact once a solution is defined. Systems Integration: Configure APIs, data maps, authentication, error handling, and connect to CRMs, databases, or knowledge systems. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Optimization: Monitor performance, refine prompts, test iteratively, and ensure agents meet automation and containment targets. Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Shadow Core Engineering: Collaborate with product/engineering teams for deep technical fixes and platformization, while independently leading client delivery. What you'll bring to the role 3+ years in conversational AI, ML engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong skills in prompt engineering, workflow building, API integration, and telephony (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). ML expertise in embeddings, retrieval-augmented generation (RAG), evaluation frameworks, fine-tuning models, and performance optimization. Solid programming skills (Python, JavaScript, or similar). Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos. Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems. Bachelor’s degree in Computer Science, Engineering, or a related technical field Hands-on experience with Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficient in API integrations and data flow management. Strong experience in telephony integrations, including knowledge of protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $108 - 170K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  #LI- Redwood City, CA (Hybrid)

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Company OverviewDeepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.Company Operating RhythmAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.Opportunity:Deepgram is the foundational AI company for voice, building the models that allow machines to hear, understand, and speak to humans with zero latency. As we scale, the complexity of our usage-based economy grows — and so does the opportunity to make every decision at Deepgram faster, sharper, and more informed.We are not looking for a traditional "BI Leader." We are looking for a technical founder-type who treats data as a product and agents as the primary interface. Your mission: build the Intelligence Layer — a system of autonomous agents that monitor, reason, and act on our data to drive NRR and operational excellence.This is a high-leverage, player-coach role. You'll spend your first months as a "Doer," directly building AI-augmented analytical workflows and critical models, while simultaneously hiring a small, elite team. You'll work at the intersection of Product, Sales, and Finance to ensure leadership has 20/20 vision into our NRR, unit economics, and growth loops.What You'll DoAI-Augmented Intelligence: In close partnership with functional leaders, architect and deploy agent-assisted intelligence systems that move beyond static dashboards. Build workflows that proactively reason across silos (e.g., correlating API latency with churn signals in Salesforce) to surface automated root-cause analysis and actionable recommendations.Infrastructure Evolution: In close partnership with our Tech/Engineering team, co-evolve our data stack. Define the semantic layer and data contracts required to make our infrastructure agent-ready and highly reliable.Unlock Audio Intelligence: Leverage Deepgram's own Voice AI models to ingest and structure thousands of hours of internal calls, turning unstructured audio into queryable insights for all functional teams.Strategic Leadership: Act as the primary data partner to the CEO and Board. Define the "source of truth" for our complex, usage-based revenue models and provide the analytical backbone for long-term strategy — from pricing, packaging, and distribution to market entry and capital allocation.Team Building: Recruit and lead a lean, elite team of AI-native engineers. Set a culture where manual, repetitive SQL tasks are viewed as automation bugs to be solved with code and agents.You'll Love This Role If YouYou want to build the "brain" of a unicorn-stage AI company from the ground upYou're energized by ambiguity and moving fast with imperfect infrastructureYou believe dashboards are a stepping stone — agents and automated reasoning are the destinationYou want direct access to the Founder/CEO and Board, where your work shapes company strategyYou're excited by a problem nobody else in the world can offer: unlocking intelligence from proprietary Voice AI modelsIt's Important To Us That You Have7+ years in data/analytics roles, with 2+ years leading teams at high-growth technology companiesExpert-level proficiency in SQL and Python — equally comfortable in a Hex notebook or dbt model as in a boardroom presentationExperience building agentic systems that can navigate a data warehouse autonomously — not just using LLMs to write SQL, but understanding where human judgment still mattersA founder's mindset: comfortable with "work-in-progress" infrastructure, pragmatic enough to deliver high-value insights today while iteratively improving the foundationDeep experience with usage-based SaaS metrics: consumption patterns, gross margin per million tokens/hours, and NRRA track record of leading teams where data infrastructure was evolving alongside the business — and you still enjoy getting your hands dirty in codeIt Would Be Great if You HadPrior experience as a Data Engineer or Software EngineerContributions to open-source data or AI projectsExperience with real-time billing and consumption systemsBenefits & Perks*Holistic healthMedical, dental, vision benefitsAnnual wellness stipendMental health supportLife, STD, LTD Income Insurance PlansWork/life blendUnlimited PTOGenerous paid parental leaveFlexible schedule12 Paid US company holidaysQuarterly personal productivity stipendOne-time stipend for home office upgrades401(k) plan with company matchTax Savings ProgramsContinuous learningLearning / Education stipendParticipation in talks and conferencesEmployee Resource GroupsAI enablement workshops / sessions*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.We are happy to provide accommodations for applicants who need them.

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ABOUT BASETENBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.THE ROLEAs Baseten's AI Enablement Engineer, you'll own the AI-powered tooling and agent infrastructure that makes every person at Baseten dramatically more productive. While our product helps external teams deploy and serve AI models, your focus is inward: building, integrating, and operating AI agents and LLM-powered workflows that accelerate how we write code, review PRs, debug incidents, generate documentation, and ship faster.This is a high-autonomy, high-impact role. You'll be the go-to person for everything AI-internal, from evaluating and deploying coding assistants and agentic tools, to building custom agents tailored to Baseten's codebase and workflows. If you're excited about making an engineering org of top-tier infrastructure engineers even more effective by putting AI to work across the entire SDLC, this role is for you.EXAMPLE INITIATIVESYou'll get to work on these types of projects:Agentic coding workflows — Evaluate, customize, and deploy AI coding agents (e.g., Cursor, Claude Code, Codex) tuned to Baseten's monorepo, conventions, and internal libraries.Custom internal agents — Build purpose-built agents for tasks like incident triage, on-call support, codebase Q&A, and automated change management.AI adoption strategy — Track usage, measure productivity gains, and champion best practices for AI-assisted development across all engineering teams.RESPONSIBILITIESOwn and operate the end-to-end internal AI stack — from model selection and integration to deployment and monitoring.Build and maintain custom AI agents and LLM-powered tools tailored to Baseten's engineering workflows.Evaluate and roll out third-party AI developer tools, configuration, and onboarding.Instrument AI tool usage and measure impact on engineering velocity, code quality, and developer satisfaction.Stay at the cutting edge of AI tooling, agents, and developer productivity research — and bring the best ideas back to the team.Actively support engineering teams, ensuring they have the AI-powered resources and workflows necessary to remain productive.BENEFITSCompetitive compensation, including meaningful equity.100% coverage of medical, dental, and vision insurance for employee and dependentsGenerous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)Paid parental leaveCompany-facilitated 401(k)Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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Opportunity OverviewHandshake is looking for skilled LMMS users to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with beat-making, music composition, or electronic music production to evaluate AI-generated content and provide feedback that helps AI better understand music tasks and creative production workflows.This is an ongoing, project-based opportunity you can take on alongside anything else you have going on.Who This Is ForThis is a good fit if you're an experienced LMMS user who has worked in or around roles like:Music Producer or Beat MakerComposer or ArrangerSound DesignerYou should have solid experience with one or more of the following:Beat-making, music composition, or electronic production using LMMSAnnotating or labeling audio and music assetsCreating music or beats following project briefs or style referencesReviewing music for quality, accuracy, or production consistencyWhat You'll DoYou'll use your experience with LMMS to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world music production and beat-making workflows.No prior AI or technical experience is required.QualificationsWe're looking for people who have:Minimum 3 years of hands-on experience with LMMS, whether through professional work or freelance projectsA working knowledge of music production concepts and electronic composition workflowsStrong written communication skills and attention to detailThe ability to work independently and follow written guidelinesWork Model and Project DetailsStatus: Independent contractor (not a full-time employee role)Location: Fully remote; work from anywhere with a reliable internet connection and access to a desktop or laptop computerSchedule: Flexible and asynchronous, with no minimum hour requirement. Many contributors work approximately 5–20 hours per week when assigned to an active projectDuration: The Handshake AI program runs year-round, with projects opening periodically across different areas of expertise. Placement depends on current project needs, with opportunities to be considered for future projects as they become availableApplication ProcessCreate a Handshake accountUpload your resume and verify your identityGet matched and onboarded into relevant projectsStart working and earningWork AuthorizationF-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

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Opportunity OverviewHandshake is seeking experienced Software Engineers to support AI research through flexible, hourly contract work. This is not a traditional full-time SWE role. You’ll use your real-world software development experience to evaluate AI-generated code and technical content, provide structured feedback, and help improve how AI understands programming tasks, system design, and engineering best practices.This is an ongoing, project-based opportunity that can be done alongside your primary employment.Who This Is ForThis opportunity is designed for professionals currently working (or recently working) in roles such as:Software Engineer or Senior Software EngineerBackend, Frontend, or Full-Stack EngineerSystems Engineer or Application DeveloperThis is not a traditional full-time role. You’ll apply once and, if qualified, be considered for part-time, project-based work as new projects become available.What You’ll DoThis project involves using your software engineering experience to design job-related coding questions and review AI-generated responses for correctness, efficiency, clarity, and alignment with real-world engineering practices.Applicants will be required to pass a coding assessment as part of the selection process.QualificationsWe’re looking for professionals with:4+ years of professional software engineering experience (internships excluded)Strong hands-on coding experience in at least one major programming language (e.g., Python, Java, C++, JavaScript, Go, etc.)Experience writing, reviewing, and debugging production-level codeComfortable working independently and following detailed technical guidelinesStrong written communication skills and attention to detailApplication ProcessCreate a Handshake accountUpload your resume and verify your identityGet matched and onboarded into relevant projectsStart working and earningWork Model and Project DetailsStatus: Independent contractor (not a full-time employee role)Location: Fully remoteSchedule: Flexible and asynchronous, with no minimum hour requirement. Many contributors work approximately 5–20 hours per week when assigned to an active projectDuration: The Handshake AI program runs year-round, with projects opening periodically across different areas of expertise. Placement depends on current project needs, with opportunities to be considered for future projects as they become availableWork authorization informationF-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!About Snorkel We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them - either by leveraging Snorkel Flow or developing custom approaches when needed. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel Flow’s next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research, and standardizing bespoke solutions into internal recipes and staying naturally curious about the infrastructure that underpin the Applied AI stack end-to-end. Main Responsibilities Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform. Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows. Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role. Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow. Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup. Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices. Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI. Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams. Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI. Annual travel up to 25%. Preferred Qualifications B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience. 3+ years of customer-facing experience in the design and implementation of AI/ML solutions. Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow). Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI). Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement. Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. Ability to work in a fast-paced environment and balance priorities across multiple projects at once. Compensation range for Tier 1 locations of San Francisco Bay Area $172K - $300K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Locations Redwood City, CA - Hybrid; San Francisco, CA - Hybrid - US #LI-CG1Salary Range $172,000—$300,000 USDBe Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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About the team The Safety Systems org ensures that OpenAI’s most capable models can be responsibly developed and deployed. We build evaluations, safeguards, and safety frameworks that help our models behave as intended in real-world settings.The Preparedness team is an important part of the Safety Systems org at OpenAI, and is guided by OpenAI’s Preparedness Framework.Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.The mission of the Preparedness team is to:Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards risks whose impact could be catastrophicEnsure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systemsPreparedness tightly connects capability assessment, evaluations, and internal red teaming, and mitigations for frontier models, as well as overall coordination on AGI preparedness. This is fast paced, exciting work that has far reaching importance for the company and for society.About the roleThis role leads the Automated Red Teaming (ART) effort: building scalable, research-driven systems that continuously discover failure modes in our models and mitigations — and translate those findings into actionable, production-facing improvements. The goal is to maximize counterfactual reduction in expected harm by finding the highest-leverage, least-covered weaknesses early and reliably.In this role you willYou will own the research and technical direction for automated red teaming across catastrophic risk areas, with an initial emphasis on:Automated classifier jailbreak discovery (cyber and bio)Automated bio threat-development elicitation (worst-feasible planning uplift)CoT monitoring evasion probing (and adjacent loss-of-control evaluations)You will partner tightly with:Vertical risk teams (Cyber, Bio, Loss of Control) to define threat models, prioritize targets, and land mitigationsThe Classifiers team to turn discovered attacks into training data, evals, and measurable robustness gainsProduct / eng / safety stakeholders to ensure ART outputs are operationally useful (not just interesting)You might thrive in this role if you:Feel a strong pull toward AI safety, and you’re motivated by reducing real-world catastrophic risk (not just publishing cool results).Love breaking systems (responsibly) — you get energy from finding weird, high-severity failure modes and turning them into concrete fixes.Have strong applied research instincts, especially around evaluations: you’re good at designing experiments that are reproducible, interpretable, and hard to fool.Bring hands-on experience with LLMs and agents, including multi-turn behaviors, tool use, and the ways models adapt to constraints.Are comfortable building scalable automation, not just prototypes — you can turn red-teaming ideas into pipelines that run continuously and produce high-signal outputs.Have solid software engineering fundamentals (data structures, algorithms, testing discipline) and you can work effectively in a production-adjacent environment.Think in threat models and incentives, and you naturally ask “what would an attacker do next?” or “how would this fail under pressure?”Can translate messy findings into action, communicating clearly with researchers, engineers, product, and policy — and driving alignment on what to fix first.Care about efficiency and prioritization, and you’re happy to say “no” to low-leverage work to focus on what moves the risk needle.(Nice to have) Experience in adversarial ML, security research / red teaming, abuse prevention systems, or large-scale eval infrastructure.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Join the Sleep Fitness MovementAt Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger. Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up.High Standards. No Apologies.We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week –not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career, you’ll feel right at home. If you’re looking for something easier –this isn’t it.The RoleEight Sleep is the first sleep fitness company. At Eight Sleep we design products at the forefront of sleep innovation. Our mission is to make people’s sleep count for more, using innovative technology, minimalistic design, and proven clinical science to personalize and improve each night for everybody—changing the way people sleep forever and for better.Our temperature-regulated technology, the Pod, is an absolute game changer. It improves people's health and happiness by changing the way they sleep. The Pod was recognized two years in a row by TIME's “Best Inventions of the Year.” It is available for purchase in North America and internationally. Backed by leading Silicon Valley investors including Valor Equity Partners, Founders Fund, Khosla Ventures and Y Combinator, we’ve raised over $150 million (Series C) to date. We were recognized as one of Fast Company’s Most Innovative Companies in Consumer Electronics in 2019, 2022, and 2023.That is why Eight Sleep is looking for research scientists with a passion for using AI & Machine Learning to transform sensor data into personalized intelligent health & fitness experiences. Today, we offer heart rate, heart rate variability, sleep, and other metrics. Tomorrow, your imagination will unlock new meaningful metrics that will induce behavior change for better sleep and better health. To do so, you will work closely with a cross-functional R&D and production team to prototype and to ship solutions.We are seeking someone who is passionate about health technologies and about making an impact on health outcomes. We look for people who tackle problems with a system approach, and make data driven decisions to deliver the best products to our users.How you'll contributeExample projects include:Autopilot Thermoregulation: Advance the Pod’s adaptive thermoregulation system - the “autopilot” system that continuously learns and reacts to micro-events like restlessness or awakenings. Design policies that optimize comfort and sleep quality in real time through reinforcement learning and closed-loop control.Health Foundation Modeling: Develop a multimodal health foundation model that integrates physiology and environmental context - learning from Pod signals, wearable sensors, and contextual data - powered by one billion+ hours of sleep data at Eight Sleep.Behavioral simulations: Build a high-fidelity physiological simulator that models how daily behaviors ripple into tonight’s sleep and tomorrow’s readiness. This initiative aims to create a non-invasive, always-on model of healthy aging powered by Pod biosignals and continuous physiological data. What you'll need to succeedExpertise in at least one area of machine learning and artificial intelligence (e.g., self-supervised learning, multi-modal ML, model optimization, NLP, LLM)Strong interest in applying machine learning to health related problems and dataExperience using a programming language (Python, C/C++ etc.) to manipulate data, draw insights from large data sets, and train machine learning models3+ years of practical experience applying ML to solve real-world problems or relevant quantitative and qualitative research and analytics experiencePhD in Computer Science, Machine Learning, AI, Statistics, Mathematics, or related quantitative field with a notable publication record; or BS/MS with publications at top venues (e.g. NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ACL, EMNLP, INTERSPEECH) Why join Eight Sleep?Innovation in a culture of excellenceJoin us in a workplace where innovation isn’t just encouraged - it’s a standard. Our flagship product, the Pod, is a testament to our culture of excellence, beloved by hundreds of thousands of customers worldwide. At Eight Sleep, you will be part of a team that continuously pushes the boundaries of technology in sleep fitness.Immediate responsibility and accelerated career growthFrom your first day, you’ll take on substantial responsibilities that have a direct impact on our core business and product success. We are a small team that empowers you to own your projects and see the tangible effects of your efforts, enhancing both your professional growth and our company’s trajectory. Your path will be challenging but rewarding, perfect for those who thrive in fast-paced environments aiming for high standards.Collaboration with exceptional talentWork alongside other bright minds like you: at Eight Sleep exceptional intelligence and a passion for breakthroughs are the norms. Our team members are not only experts in their fields but also avid innovators who thrive in our dynamic, fast-paced environment.Equitable compensation and continuous equity investmentWe extend equity participation to every full-time team member, recognizing and rewarding your direct contributions to our success. This includes periodic equity refreshments based on performance, ensuring that as Eight Sleep grows and succeeds, so do you – perfectly aligning your achievements with the broader triumphs of the company. Pay grows rapidly as you accumulate experience with Eight Sleep and translate it into concrete impact.Your own Pod - and other great benefitsEvery Eight Sleep employee receives the very product that defines our mission: a Pod of their own. If you join us you’ll get your own Pod, along with other benefitsAt Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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About the teamOpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products.The FDE Platform team is primarily a leverage function that scales the FDE org’s impact to OpenAI’s platform and products. We provide hands-on leverage by embedding with customer-tagged FDE pods to aid in architecting, product shaping, refactoring, and building. This team is perfect for highly collaborative software engineers who love innovating on cutting-edge products with other builders.About the rolePlatform Engineer is a role within Forward Deployed Engineering (FDE) for strong software and ML engineers who want to build new platform capabilities from scratch, grounded in real customer deployments.You will partner with customer-tagged FDEs who are driving delivery and customer outcomes, and embed where you can provide the highest leverage. In practice that means working in the trenches on architecture, product shaping, refactoring, hardening, and reusable abstractions, while preserving the pod’s ownership of customer understanding and day-to-day execution. You will also collaborate closely with our B2B Platform Team and other long-term owners to align early on what should generalize, what should remain customer-specific, and what “ready for handoff” looks like.This role does not require travel. It is based in San Francisco or New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel is optional-by-project and typically <10%, with occasional spikes for key embeds or launches.In this role you willProvide hands-on leverage to customer pods: embed with customer-tagged FDE teams to support generalization, contributing directly in architecture, product shaping, refactoring, and implementation.Turn repeated signals into platform bets: translate cross-customer patterns into crisp hypotheses with clear success criteria, scope, and a validation plan that fits real account constraints.Raise the engineering bar through tooling and mentorship: set org-wide quality norms through high-signal code review and pairing, and build lightweight developer tooling that makes good architecture, readability, and correctness the default across FDE.Collaborate as part of cross-functional platform teams: partner closely with B2B Product, customer-tagged FDEs, ops, and business partners to bring the right products and platform capabilities to market.Lead complex platform capabilities end-to-end when needed: for high-leverage primitives like our Context Platform, act as DRI from requirements through implementation, make key tradeoffs explicit, and pull in customer pods early to keep the work grounded in real deployments.You might thrive in this role if youBring 5+ years of software engineering or ML engineering experience with a track record of shipping 0→1 capabilities that other engineers or customers depend on. Experience in high-ambiguity, fast-iteration environments (startups or product-centric teams) is a plus.Have owned customer-adjacent technical work end-to-end, from scoping and hypothesis-setting through production adoption, and improved outcomes through structured iteration (instrumentation, evals, error analysis, and tightening success criteria over time).Have built or operated systems where reliability, security, and governance materially shaped design (permissions/RBAC, auditability, data access boundaries, rollout safety, observability, and incident-driven hardening).Communicate clearly across engineering, product, go-to-market, and executive audiences, simplifying complex ideas and translating technical tradeoffs into adoption impact, sequencing decisions, and measurable outcomes. You can credibly “pitch” a platform bet in a customer conversation.Default to systems thinking: you turn ambiguous feedback, failures, and escalations into durable product requirements and reusable platform capabilities, not one-off fixes or bespoke delivery work.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Prospera AIWe’re building Sophie, a multi-agent AI orchestrator that helps wealth management advisors deliver more personalized, effective service to their clients.Our platform analyzes behavioral patterns, communication preferences, and emotional states to transform how advisors understand and serve their clients.We’re a small, well-funded team at an exciting inflection point—our technology works, customers love the product, and now we’re building the engineering team to scale. The RoleWe’re looking for an AI/Backend Engineer to own and evolve our LLM orchestration pipeline. You’ll be the first dedicated engineering hire, working directly with our CTO to transform Sophie from a working prototype into a scalable, enterprise-ready platform.This is a high-impact, high-autonomy role. You’ll shape technical decisions that define the product for years to come.What You’ll DoOwn the AI PipelineDesign and optimize our multi-agent orchestration systemImplement parallelization and streaming to dramatically reduce response latencyBuild robust prompt management with versioning and A/B testing capabilitiesBuild RAG SystemsDesign retrieval-augmented generation for accurate, contextual responsesWork with vector databases, embeddings, and relevance scoringOptimize for both speed and accuracy at scaleDevelop Production APIsBuild developer-friendly APIs connecting our AI capabilities to the frontendDesign for future integrations with CRMs and advisor toolsImplement proper authentication, rate limiting, and documentationShape the FoundationEstablish code review practices and testing standardsDocument architecture decisions for future team membersContribute to technical patents and IP developmentWhat We’re Looking ForMust Have4+ years production Python experience (async patterns, type hints)Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar)Strong understanding of prompt engineering and multi-step LLM workflowsProduction API development experience (FastAPI or similar)Strong SQL and PostgreSQL skillsGreat to HaveExperience with RAG systems and vector databases (Pinecone, Weaviate, pgvector)Streaming/real-time implementation experience (SSE, WebSockets)TypeScript/JavaScript familiarityFinTech or regulated industry backgroundHow You WorkStrong UX intuition—you notice when flows have one too many clicksPragmatic perfectionism—you know when to polish and when to shipClear communicator who can explain technical constraints in business termsCollaborative mindset—frontend doesn’t exist in isolationHow You WorkSelf-directed and comfortable with ambiguityStrong written communication (async-first culture)Pragmatic problem-solver who ships iterativelyCollaborative mindset with ego-free approach to feedbackWhat This Role Is NotWe want to be upfront about expectations:Not a pure ML/research role—you’ll apply LLMs, not train themNot a management role—near-term focus is individual contributionNot fully autonomous—you’ll collaborate closely with the CTO on architectureNot 9-to-5—startup intensity applies, though we respect work-life balanceCompensation & BenefitsEquity: Meaningful early-stage grant with 4-year vestingEquipment: Professional Laptop ready to work with AI provided + stipend for remote work when 6 month mark is metTime Off: Flexible PTO with a minimum 15 days encouragedLearning: $1,000 annual professional development budgetSchedule: Flexible hours with 3-4 hours daily overlap (Americas timezones)

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Exa is building a search engine from scratch to serve every AI application. We build massive-scale infrastructure to crawl the web, train state-of-the-art embedding models to index it, and develop super high performant vector databases in Rust to search over it. We also own a $5M H200 GPU cluster that regularly lights up tens of thousands of machines.Our Infrastructure Team builds the underlying tooling and infrastructure that powers all Exa's systems. Basically, we need more infra engineers to build the machine that builds the machine so that we can move as fast as possible as an engineering org. That could mean building GPU cluster orchestration in Kubernetes, map-reduce batchjobs on Ray, or the best observability tooling in the world. Desired ExperienceYou have experience designing and operating large-scale infrastructure - GPU clusters or large Kubernetes clusters or cloud batchjob systemsYou bring an obsessive mindset — always thinking about reliability, observability, and optimization across the entire stack.Example ProjectsBuild the Kubernetes orchestration on a $20M GPU clusterScale our AWS batchjob system to handle map reduce jobs over 10s of thousands of machinesDesign GPU scheduling software so we max out our cluster utilizationBuild observability into our production systemsThis is an in-person opportunity in Singapore. We’re happy to sponsor international candidates.

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About ClarionAt Clarion, we’re rebuilding how healthcare communicates in the age of AI.Today, clinics miss 30–40% of patient calls, while staff are overwhelmed by administrative work. We believe AI agents should handle these workflows—scheduling, billing, prescription refills, and follow-ups—so healthcare teams can focus on actual patient care.We’re building the communication infrastructure modern healthcare needs. Our AI agents don’t just answer calls—they complete workflows end-to-end, ensuring patients never go unheard. To date, we’ve handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company.Clarion was founded by a Stanford/Harvard-trained physician (founding team at Two Chairs and Ophelia) and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. We’ve raised $5.4M from Accel, Y Combinator, Sequoia (Scout), and leading healthcare founders. We’re an in-person team in New York, moving fast to solve one of healthcare’s most critical problems.Why This Role Is SpecialReal traction, early-stage impact: Dozens of paying customers, rapidly growing revenue, and the chance to shape core systems at an inflection point.Mission-critical problem: Healthcare communication failures affect millions daily—your work directly improves patient access and outcomes.Elite technical context: Work closely with founders who deeply understand both healthcare operations and advanced AI systems, enabling fast decisions and real ownership.What You’ll OwnLead the deployment, performance, and reliability of AI agents operating in live, high-stakes healthcare environments.Architect and scale full-stack systems integrating with EHRs, legacy healthcare platforms, and real-time voice infrastructure.Drive technical strategy for customer-facing solutions, collaborating with product and engineering to translate client needs into scalable architecture.Mentor engineers and set standards for code quality, testing, security, and HIPAA-compliant development.Shape product roadmap by identifying systemic challenges in customer workflows and proposing high-leverage technical solutions.Interesting Technical ChallengesGenerative AI at Scale: Design and operate production systems using LLMs with rigorous safety, alignment, and real-time monitoring at enterprise scale.Real-time voice infrastructure: Build ultra-low-latency systems supporting thousands of concurrent calls with 99.99% uptime.Fragmented healthcare systems: Design resilient abstraction layers across modern APIs and legacy platforms while maintaining security and compliance.Highly Personalized Experiences: Develop adaptive AI that retains patient context across sessions, personalizes tone and flow, and delivers conversations indistinguishable from human care.What We’re Looking For5+ years of experience designing, building, and scaling production systems in high-reliability environments.Strong full-stack expertise with Node.js, TypeScript, React, and PostgreSQL, plus solid system design instincts.High ownership and agency—you thrive in ambiguity and take responsibility for outcomes.Proven ability to mentor engineers, lead cross-functional efforts, and communicate technical trade-offs clearly.You’ll be a great fit if you enjoy owning complex systems end-to-end, solving hard problems under real-world constraints, and working closely with customers and teammates to deliver mission-critical software.Interview ProcessWe move quickly and communicate clearly at every stage:Intro Chat (30 min, Virtual): Background, role context, and leadership philosophy.Technical Deep Dive (1 hr, Virtual): System design and architecture with the CTO and a senior engineer.Onsite Team Day (Half Day, NYC): Collaborate on real problems, present a past project, meet the team, and assess mutual fit.Decisions are typically made within 24 hours of each stage.

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About ClarionThe hardest part of healthcare shouldn’t be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn’t a failure of care - it’s a failure of capacity.Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love.We’ve raised $5.5M from Accel, Y Combinator, and Sequoia (Scout), along with founders from Ophelia, Medallion, and Counsel Health. We’re an in-person team based in New York City, moving quickly to ensure every patient gets the care they need.Why Join Us?Solving a real-world challenge: We’re addressing a critical problem that affects millions of patients and providers daily. Our AI agents outperform human schedulers and restore the time needed to focus on patients.Early-stage with strong market validation: We’ve seen 10x revenue growth in the last year alone. We handle millions of interactions for customers ranging from virtual care clinics to a $5B health insurance company.Founding team: Our co-founders bring a deep understanding of the healthcare landscape. Our CEO is a Stanford/Harvard-trained physician and clinical ops leader (Two Chairs, Ophelia), and our CTO is an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce.Outsized early impact: You'll be joining at an early stage where your contributions shape our company's trajectory, processes, and culture, with significant influence on how we grow.In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage. We move faster, build stronger bonds, and create a cohesive culture.What You'll Be Working OnBuild and ship: Write production code—building integrations, configuring AI agents, and implementing platform logic based on customer workflows and scheduling rules.Own implementations end-to-end: Create and manage technical project plans from scoping through go-live. Coordinate internal resources, delegate workstreams, and drive timelines to completion.Engineer our moat: Our competitive advantage is our ability to stay in the weeds with customers until the technology works. You will architect the high-leverage systems and playbooks that transform these complex implementations into a repeatable, scalable infrastructure.Be the technical face to customers: Serve as primary POC for customer technical teams—leading discovery sessions, unblocking integration issues, and building trusted advisor relationships.Optimize AI agents in production: Monitor agent performance at scale, diagnose failure modes, and iteratively refine behavior to improve accuracy, reliability, and patient experience over time.Grow accounts: Drive expansion post-launch by deploying new features, identifying upsell opportunities, and proactively solving emerging pain points.Shape the product: Translate field observations and customer feedback into actionable requirements that inform the product roadmap.RequirementsTechnical foundation: 3+ years of engineering experience shipping production systems while working directly with customers. This is a hands-on coding role, not purely project management.Project leadership: Track record of managing complex, multi-workstream technical projects and coordinating cross-functional resources to deliver on time.Customer-facing presence: Experience as a primary technical POC—comfortable leading architecture discussions and building relationships with technical stakeholders.Product intuition: Ability to synthesize customer needs into insights that bridge field reality and engineering priorities.Interesting Technical ChallengesAI agent tuning at scale: Configure voice agents for medical terminology and complex scheduling logic, then continuously refine as real-world edge cases emerge in production.Workflow orchestration: Map and automate multi-step processes—scheduling, insurance verification, prescriptions, documentation—across diverse customer environments.Personalization that scales: Deploy agents that adapt to each organization's unique protocols and terminology without requiring bespoke rebuilds for every customer.Debugging AI in the wild: Diagnose agent failures across integrations and LLM behavior, then implement fixes that generalize across deployments.Shape the product from the field: As the closest touchpoint to customers, identify patterns across deployments and translate insights into product requirements that drive the roadmap.What we offerDirect mentorship: Work closely with our founding team and experienced leaders who will invest in your professional developmentMeaningful equity: Early employee stock options with significant ownership potentialComprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunchesTeam culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC teamImpact at scale: Work that builds the infrastructure to help millions of patients access careInterview ProcessAt each stage, we decide within 24hrs and update you shortly after:First Chat (15 min) [Virtual]: A casual conversation about the role and your experience to see if there's a good initial fit.Applied Coding Exercise (1 hr) [Virtual]: Hands-on challenge for building and optimizing AI agents in healthcare.Experience & Culture (30 min) [Virtual]: Deep dive into work style, culture fit, and previous experience.Onsite (Half-day) [In-Person]: Visit our New York office to meet the team, explore our platform, and solve technical problems collaboratively.If you’re ready to be the customer champion that transforms healthcare communication, we’d love to hear from you.

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About CentariAt Centari, we believe that in high-stakes dealmaking, a firm’s competitive edge lies within unlocking its private deal data. Centari is building the deal intelligence platform for the future of law and finance, moving beyond simple automation and into a world of data-driven dealmaking. Our proprietary Deal Reasoning Engine transforms a firm’s goldmine of complex documents into strategic insights, empowering global deal teams to negotiate with the full force of their firm’s collective knowledge.Our team brings together attorneys, financial experts, and engineers across a hybrid, cross-cultural organization. We're backed by top-tier enterprise AI investors including GTMfund, former DoorDash board member Jeremy Kranz, Seamless co-founder Andy Appelbaum, Jack Altman, South Park Commons, and Recall Capital.We are drawn to complexity because that is where true innovation happens. If you’re a builder who thrives in ambiguity and operates with radical ownership, we’d love to meet you.For more information, check out centari.com or find us on LinkedIn.About the RoleWe are hiring a Senior Software Engineer, Backend to join our product team. You'll be a key player in designing and building Centari's core AI technology, working alongside engineers who share a bias for action. As one team, you'll write code, shape the product, interact with customers, and drive initiatives from concept to completion.Our systems are built with Go and React/TypeScript, leveraging cutting-edge LLM technologies across infrastructure, search, and persistence layers. If you're passionate about building impactful LLM applications and thrive on owning complex challenges, we want to hear from you.RequirementsAt least 5+ years of experience building production-ready applications in Go or another strongly typed language.Some experience with or strong interest in LLMs, knowledge graphs, semantic search, and other AI/ML technologies.Proven ability to work with cutting-edge technology and eagerness to learn new skills.Willingness to roll up sleeves and get things done - our engineers are comfortable switching between different technical domains as needed.Strong collaboration skills and ability to work effectively in a fast-paced environment.Experience as a tech lead or driving projects end to end.Nice to haveExperience in enterprise SaaS or with highly regulated industries (e.g., legal, financial services, healthcare).Experience in a startup environment.Specialized experience and skills in either full-stack product development or data/ML infrastructure.What we offerBuild at the frontier of AI for knowledge work, with a highly engaged user base from top firms.Flat organizational structure promoting autonomy and direct impact.Meaningful equity in a high-growth startup.Competitive salary100% remote. Flexible PTO.

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Forward Deployed AI EngineerThe opportunityWe are looking for a Forward Deployed AI Engineer to serve as the critical bridge between Latent Labs’ frontier generative models and the customers who rely on them. You will work directly with pharmaceutical and biotech customers to deploy, integrate and optimise our technology within their scientific workflows. This is a highly technical, customer-facing role that combines deep infrastructure expertise with a passion for solving real-world problems in drug discovery and protein engineering.You will work closely with our customers, understanding their unique technical environments and ensuring that our generative biology platform integrates seamlessly with their systems. You will own the full lifecycle of customer deployments - from initial technical scoping through to production-grade delivery - and act as the voice of the customer back into our product and research teams.Who we areAt Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.Who you areYou have a strong CS or ML educational background. You hold a degree (BSc, MSc or PhD) in Computer Science, Machine Learning, or a closely related quantitative field. You have a solid grounding in software engineering principles and modern ML frameworks.You have built systems that access large models via APIs. You have significant experience designing, deploying and maintaining infrastructure for large-scale model serving and have hands-on experience building robust API layers around ML models.You are customer-facing and delivery-oriented. You have direct experience deploying AI systems for external customers. You can translate complex technical concepts into clear language for non-technical stakeholders and thrive in environments where customer success is the primary measure of your work.You are fluent in cloud infrastructure. You have hands-on experience with AWS and ideally other major cloud platforms (GCP, Azure). You are comfortable with containerisation (Docker, Kubernetes), CI/CD pipelines, and cloud-native architectures.You are a strong communicator and collaborator. You work effectively across functions - with research scientists and business executives alike. You are comfortable leading technical discussions, writing clear documentation, and presenting solutions to senior stakeholders at partner organisations.You are mission driven and adaptable. You are passionate about making a positive impact on the world, whether it’s for patients, customers or beyond. You thrive in a dynamic, fast-paced environment where priorities can shift and you need to context-switch between multiple customer engagements.What sets you apartYou have experience with bio or protein design models. You have worked on ML-driven projects in computational biology, protein design, or related life science domains. You understand the unique data challenges and evaluation paradigms of biological modelling.You have contributed to generative modelling innovation. You have a track record of novel contributions to generative modelling - whether through publications, open-source work, or impactful product features.You have built production enterprise software. You have experience delivering software that meets enterprise-grade requirements for security, compliance, auditability and uptime. You understand the difference between a prototype and a production system.You have pharma or biotech industry experience. You understand the regulatory landscape, data governance requirements and scientific workflows common in pharmaceutical and biotech organisations.Your responsibilitiesCustomer deployment & integration:Drive the end-to-end technical deployment of Latent Labs models into customer environments, ensuring seamless integration with existing scientific and IT infrastructure.Design and build production-grade API integrations, data pipelines and model-serving infrastructure tailored to each customer’s requirements.Work on-site or embedded with pharma and biotech partners to scope technical requirements, troubleshoot issues and deliver solutions.Ensure deployments meet enterprise standards for security, performance and reliability.Customer advocacy & product feedback:Serve as the technical point of contact for assigned customers, building trusted relationships with their scientific and engineering teams, including spending time working on-site at international partner locations as neededGather and synthesise customer feedback, translating it into actionable insights for our product, research and platform teams.Collaborate with internal teams to shape the product roadmap based on real-world deployment learnings.Create technical documentation, integration guides and best-practice resources for customers.Self development:Stay on top of the latest developments in ML infrastructure, model serving and cloud-native tooling.Gain a strong working understanding of protein and cell biology as it relates to our product.Participate in knowledge sharing, e.g. organise and present at our internal reading group.ApplyWe offer strongly competitive compensation and benefits packages, including:Private health insurancePension contributionsGenerous leave policies (including gender neutral parental leave)Hybrid workingTravel opportunities and moreWe also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.