Technical Deployment Lead, Applied AI

Join Anthropic as an Engagement Manager on our Applied AI team, where you will spearhead the delivery of cutting-edge AI solutions for Fortune 500 companies. In this pivotal role, you will collaborate with customers to create bespoke AI agents that enhance their core business processes. You will oversee the entire project lifecycle from the signed Statement of Work (SOW) to production deployment, coordinating cross-functional teams that include Engineering, Product, Design, and key customer stakeholders. This position goes beyond traditional project management; you will adeptly navigate complex enterprise environments, eliminate technical and organizational obstacles, and drive measurable business outcomes while upholding our commitment to safety and reliability. Work closely with Forward Deployed Engineers (FDEs) to manage stakeholder relationships and organizational intricacies, ensuring seamless delivery of AI innovations. Additionally, you will champion our mission in the field and develop the frameworks that enable scalability in our growing initiatives.

Join Anthropic as an Applied AI Engineer in our Beneficial Deployments team, where you'll utilize your technical acumen to empower mission-driven organizations in leveraging AI for social good. Collaborate closely with partners to enhance their impact by advising on evaluations, optimizing agent architectures, and developing innovative solutions. In this role, you will create ecosystem-level tools and infrastructure that facilitate broader benefits beyond individual collaborations. Your contributions will be pivotal in shaping the future of AI applications in education, healthcare, and more.

About the Role:As an AI Deployment Strategist at F2-ai, you will play a pivotal role in bridging customer success, sales, and engineering teams to guarantee technical precision and effective implementation of our innovative F2 product. You will establish yourself as the go-to expert in AI prompting, serving as the technical foundation for our go-to-market strategy.Your Responsibilities:Assist in the F2 sales process: Participate in prospect and client meetings to resolve technical inquiries related to our product.Manage customer due diligence: Complete InfoSec questionnaires and enhance our due diligence knowledge base continuously.Review reports produced by users, identify issues, and collaborate with engineering to ensure customers derive value from our AI solutions.Develop prompts: Craft natural language prompts tailored to specific customer requirements to guarantee accurate and relevant report outputs.Conduct light technical implementations, such as configuring Single Sign-On (SSO) or establishing custom data retention policies.Maintain CRM hygiene: Ensure data is clean and structured to support the scalability of customer success and sales teams.Act as the customer advocate to the engineering team, providing valuable feedback that aids in product enhancement.Who You Are:You are a dynamic professional adept at translating technical language for engineers and customers alike. Your experience with enterprise buyers enables you to convey complex systems in a straightforward manner, fostering cross-functional collaboration that leads to impactful results.Experience in prompt engineering and working with LLMs and AI SaaS tools.Familiarity with enterprise information security concepts and due diligence procedures.Excellent communication skills, commercially astute, customer-focused, and technologically proficient. You can simplify complex ideas for non-technical audiences.Proficient in project management of intricate workflows and technical deliverables without the need to write production code.Strong technical aptitude and willingness to enhance your coding skills.

At OpenAI, we are committed to ensuring that the advancements in artificial general intelligence (AGI) benefit humanity as a whole. To achieve this goal, we are laying the technical groundwork that enables enterprises to transition from initial experiments to real-world, production-level applications of our platform and coding solutions.The Lead Technical AI Deployment Manager plays a pivotal role in this mission. You will be responsible for shaping how OpenAI’s extensive technical knowledge is shared with developers and engineering groups — transforming our approach from high-touch, limited delivery to a scalable and consistent technical training model that drives significant customer results.This role involves architecting and expanding OpenAI’s technical adoption strategies for developers. The Technical AI Deployment Manager will convert OpenAI's platform capabilities into actionable, high-quality technical training that empowers clients to design, build, and deploy effective systems. This position operates at the crossroads of technical expertise, education, and scalability.You will lead by example — initially providing impactful technical training yourself — and subsequently develop a team, set standards, and establish an operational framework that facilitates this work on a global scale.This is a foundational leadership position with substantial visibility and a well-defined path for growth as you demonstrate your impact.

About Our TeamAt OpenAI, our Forward Deployed Engineering (FDE) team collaborates with clients to transform cutting-edge research into robust production systems. We sit at the confluence of customer engagement and fundamental platform enhancement.About the PositionAs the Technical Deployment Lead (TDL) specializing in Life Sciences, you'll be instrumental in shaping how OpenAI delivers complex systems to our clients. You will oversee the development, deployment, and integration of these systems, ensuring alignment with business objectives. Your role includes translating strategic goals into actionable technical plans, managing the day-to-day activities of FDEs, researchers, and customer engineers, and collaborating with client teams to ensure that our solutions meet their unique needs.Your primary focus will be on the Life Sciences sector, working alongside pharmaceutical firms, clinical research organizations, and data service providers to implement innovative AI solutions for drug discovery, development, and operational processes. You will take charge of the entire delivery process: engaging with Life Sciences clients to delineate workflows and success metrics, ensuring timely component shipments, and leading readiness and change management efforts for effective user adoption. You’ll monitor progress, manage interdependencies, make sequencing decisions, and drive the development of prototypes from concept to MVP and beyond. Additionally, you’ll convey field insights to our Product and Research teams, helping to shape our strategic roadmap and priorities.Your success will be gauged primarily by the impact of your deployments—delivering tangible value that aligns with client objectives, fostering widespread adoption, and becoming integral to their operations. Other success indicators include delivery reliability, operational efficiency, quality of judgment under pressure, and the influence of your work on product development.This position offers a high level of trust and autonomy. To excel, you’ll need profound technical project management skills, a strong sense of ownership regarding outcomes, and the ability to deeply understand client workflows while collaborating with their teams to tackle intricate engineering challenges swiftly.Your Responsibilities Include:Leading the technical delivery strategy for multiple interconnected workstreams. Convert business goals into a comprehensive roadmap with milestones, dependencies, and acceptance criteria.Overseeing daily engineering operations. Monitor and drive the delivery across OpenAI FDE and client teams.

About Our TeamAt OpenAI, our Forward Deployed Engineering (FDE) team is dedicated to transforming groundbreaking research into robust production systems. We work closely with our clients to tackle significant challenges, serving as the driving force behind our most intricate large-scale projects. Our agile approach allows us to rapidly transition from prototypes to production, establishing reusable patterns that enhance our platform. We function at the nexus of deployment and development, collaborating extensively with OpenAI Research, Product, and Partnerships.About the PositionAs a Technical Deployment Lead (TDL), you will be instrumental in defining the delivery of sophisticated systems to our clients. You will oversee the construction, shipping, and adoption processes. Your role involves translating business objectives into actionable technical plans, managing daily operations across FDEs, Researchers, and Customer Engineers, and collaborating with customer teams to ensure the delivery aligns with their objectives.You will manage the entire delivery process: engaging with customers to outline workflows and success metrics, ensuring timely shipping of components, and leading readiness and change management efforts for successful adoption. Your responsibilities will include tracking progress, managing dependencies, making sequencing decisions, and driving prototypes from initial concept through to MVP and scaling. Additionally, you will provide field insights to Product and Research to inform roadmaps and priorities.Your success will primarily be measured by the impact of deployments that yield quantifiable value aligned with customer goals, increase adoption, and become integral to their workflows. Other success metrics include delivery reliability (meeting milestones, minimizing reopen/churn), operational efficiency (reusing patterns across deployments), sound judgment under pressure, and product impact (field feedback influencing roadmaps/architectures).This role is characterized by a high level of trust and autonomy. To excel, you will need profound technical project management skills, a strong sense of ownership over outcomes, and an ability to immerse yourself in customer workflows while partnering with their teams to resolve complex engineering challenges swiftly.This position is based in San Francisco. We adopt a hybrid working model, requiring three days in the office each week. Relocation assistance is available, and travel of 25%-50% is anticipated.

Join Reka as a Member of the Technical Staff in Applied AI!Leverage cutting-edge AI models to tackle intricate real-world challenges.Engage in close collaboration with researchers and fellow team members to explore the latest developments in AI and ML.Partner with our customers to seamlessly integrate our innovative models into their existing technology frameworks.Drive business success with a strong sense of product ownership and accountability.Be part of a pioneering team in a rapidly growing environment, taking on diverse roles.

Company OverviewAt Canvas Medical, we are revolutionizing everyday healthcare through our innovative EMR platform designed for healthcare automation. Our mission is to empower care teams with advanced software solutions that streamline data integration, automate workflows, and foster collaboration among developers and clinicians to tackle the most pressing challenges in healthcare. Backed by some of the world’s leading technology investors, we are committed to transforming healthcare delivery.The RoleWe are seeking an Applied AI Operations Lead to join our GTM Operations team. In this pivotal role, you will oversee the deployment, adoption, and governance of AI agents across our diverse customer base. Acting as the crucial link between our Applied AI engineering team and healthcare organizations, you will facilitate the implementation of Canvas's cutting-edge AI capabilities to enhance clinical and operational processes.As a hands-on expert, you will collaborate directly with customers to deploy and manage AI agents that utilize foundation model APIs and our server-side SDK. This entails working closely with clinical, operational, and financial stakeholders to tailor agent configurations for peak performance while establishing robust governance frameworks to ensure trust in AI-driven automation.This position is perfect for individuals who possess a strong technical background in LLM-based systems, exceptional interpersonal skills, and a genuine passion for healthcare innovation. You will translate complex AI capabilities into engaging value propositions, guide customers through the change management process, and develop repeatable playbooks to accelerate AI adoption throughout the Canvas community. Your contributions will have a direct impact on how countless care teams leverage AI to improve patient outcomes and alleviate administrative burdens.You will work alongside our Applied AI engineering team to provide valuable field insights that inform product development, ensure seamless implementations in collaboration with customer success, and partner with technical marketing to highlight the transformative effects of AI agents at Canvas. As AI becomes integral to healthcare delivery, you will play a key role in helping our customers unlock the full potential of healthcare automation.

Join lilasciences as a Product Lead specializing in Software and Applied AI, where you will spearhead innovative projects that leverage cutting-edge AI technologies. In this pivotal role, you will collaborate with cross-functional teams to define product vision, strategy, and execution, ensuring alignment with user needs and market trends.

HappyRobot creates AI-driven workforces for enterprises, supporting operations across voice, email, and major enterprise systems. With backing from Y Combinator (S23), a16z, and Base10, and over $60 million raised, the team focuses on improving essential processes for large organizations worldwide. The platform began in complex logistics settings, where the team built its own voice stack, models, and orchestration layer. Today, HappyRobot is broadening this infrastructure to serve more industries. For details on the company's vision, see our manifesto. Role overview The Deployment Operations Lead acts as the operational center of the Deployments organization at HappyRobot. This position suits someone who values structure and discipline, and enjoys keeping complex operations organized. The role connects Deployments (including Forward Deployed Engineers and Deployment Strategists), Commercial, and Product teams to ensure accounts are staffed, delivered, and improved over time. Responsibilities include managing playbooks, staffing models, and feedback systems to make deployments repeatable and scalable. Tasks may involve creating onboarding materials, reallocating resources during a quarter, or helping define commercial scopes for new projects. What you will do Playbooks & Delivery Standards: Build and update deployment playbooks. Set best practices for each stage: scoping, kickoff, integration, go-live, and expansion. Ensure Forward Deployed Engineers and Deployment Strategists have reliable processes for every account. Staffing & Capacity Planning: Manage staffing for the deployment team. Assign engineers and strategists to accounts based on complexity, technical requirements, and available capacity. Adjust assignments as priorities change and serve as the main contact for team allocations. Delivery Assurance: Track account delivery across the portfolio. Identify risks early and put mitigation plans in place to keep projects moving forward. Location This position is based in San Francisco.

Overview: Join Listen Labs as we respond to a surge in market demand with an ambitious 6-month product roadmap. We are expanding our engineering team and are on the lookout for a highly skilled technical expert (our current team includes three IOI medalists) who is eager to build a transformative product that reshapes decision-making for businesses. If you have a passion for solving intricate problems from start to finish, we want to connect with you.About Listen LabsListen Labs is an AI-driven research platform designed to help teams quickly extract insights from customer interviews in a matter of hours rather than months. We empower our clients by enabling them to analyze conversations, identify key themes, and make faster, more informed product decisions.Why Work with Us?Exceptional Team: Founded by seasoned entrepreneurs with a successful AI exit, along with talent from renowned companies such as Jane Street, Twitter, Stripe, Affirm, Bain, and Goldman Sachs, our team boasts impressive credentials including IOI and ICPC backgrounds.Rapid Growth: As a 40-person team backed by Sequoia Capital, we have achieved a remarkable growth trajectory, scaling from $0 to a $14 million run-rate in less than a year. We prioritize craftsmanship and thrive on collaboration with individuals who take ownership.Impressive Traction: We are experiencing rapid growth across various sectors, securing enterprise clients such as Google, Microsoft, Nestlé, and Procter & Gamble.Proven Performance: We maintain an industry-leading win rate driven by our uniquely differentiated product.Market Validation: We consistently attract customers from diverse segments, achieving six-figure contracts that facilitate quick expansions.Viral Product: Our interviews reach tens of thousands of viewers, promoting product-led growth, organic expansion, and daily interest from Fortune 500 companies.Technical Challenges Await:Research Agent Development:Unlike traditional software purchases, hiring McKinsey offers valuable opinions, expertise, and execution. We aim to provide users with an AI agent that possesses complete knowledge about our platform and best research practices, assisting them in project setup, interview conduction, and response analysis.Human Database Creation:One of our core offerings is the ability to identify target users effectively (e.g., "power users of ChatGPT and Excel"). We are in the process of building a comprehensive database that connects users with the insights they need.

At Tzafon, we are pioneering the development of scalable computing systems and pushing the boundaries of machine intelligence with our foundation model lab. Located in vibrant cities such as San Francisco, Zurich, and Tel Aviv, we have successfully secured over $12 million in funding to fuel our mission of expanding the horizons of AI technology.Our dynamic team comprises engineers and scientists with extensive expertise in machine learning infrastructure and research. Founded by IOI and IMO medalists, PhDs, and seasoned professionals from top tech firms, we specialize in training advanced models and constructing robust infrastructures to automate tasks across various real-world scenarios.In this role, you will collaborate closely with our product and post-training teams to deploy Large Action Models that drive impactful results. Your responsibilities will include building evaluation frameworks, establishing benchmarks, and creating fine-tuning pipelines to ensure optimal model performance.

About the Role: Strala is on the lookout for exceptional operators to tackle one of the most challenging roles in AI-native services: enabling critical AI solutions for some of the world’s largest insurance companies. This role is pivotal, involving direct engagement with clients to ensure successful deployments of our technology. You will navigate complex environments, connecting our engineering efforts with the intricate realities faced by large insurers, ultimately delivering substantial ROI. If you possess a unique blend of technical expertise and leadership skills, capable of guiding high-stakes discussions with executives while also diving deep into data models to resolve issues, we want to hear from you.About Strala: At Strala, we are revolutionizing the claims process and enhancing loss ratios for the largest insurers globally. Our mission is to reshape the $280 billion foundation of the insurance industry using applied AI.In under a year, we’ve achieved multi-seven-figure ARR with approximately 50% month-over-month growth, all without dedicated growth personnel. We’ve successfully secured funding from top-tier investors, including early partners of OpenAI, Cognition, and Ramp. Our lean and powerful team comprises elite professionals, including top sales leaders, engineers from renowned companies like DRW, Optiver, AWS, and Palantir, AI researchers from prestigious institutions such as Oxford and Cambridge, and multiple ICPC and Olympiad winners.Key Responsibilities: Oversee multiple client deployments from post-sale design through to go-live and stabilization, serving as the primary contact for VP-level stakeholders.Collaborate with client teams on architecture, data models, workflow design, and source-of-record decisions.Transform complex client realities into structured plans, including milestones, ownership, risks, dependencies, and progress tracking. Communicate effectively with both client executives and internal engineering teams.Establish trust with senior stakeholders while engaging deeply with technical teams, earning credibility in both arenas.Coordinate daily with Strala's engineering and sales teams, translating client requirements into engineering priorities and incorporating deployment context into deal strategies.Partner with Sales on late-stage deals to refine project scope and identify opportunities for expansion.This position is based in San Francisco. We believe that in-person collaboration leads to better results.

Join Our Innovative Team at ArcadeAt Arcade, we are revolutionizing the way physical products are created with our cutting-edge AI platform. We empower individuals to turn their creative ideas into tangible products seamlessly, utilizing natural language and generative AI. Our mission is to democratize product design, making it as effortless as sharing a post online.Backed by a remarkable $42M in funding from industry-leading investors including Reid Hoffman and Ashton Kutcher, our company is a rising star in the tech landscape. Guided by our founder Mariam Naficy and a team steeped in AI and design expertise, we are at the forefront of a new frontier that merges AI, personal expression, and on-demand manufacturing.Your Role as an Applied AI EngineerWe are on the lookout for an Applied AI Engineer to enhance our generative AI capabilities. This position combines hands-on model development with the integration of advanced AI techniques into our production systems. You will collaborate with diverse teams to conduct research, experiment with models, and implement AI-driven products.

Gimlet Labs is pioneering the creation of the first heterogeneous neocloud specifically designed for AI workloads. As the demand for AI systems continues to grow, the industry is encountering significant challenges related to power, capacity, and cost with current homogeneous, vertically integrated infrastructures. Gimlet tackles these limitations by decoupling AI workloads from their physical hardware, intelligently partitioning tasks into components and orchestrating them to the most suitable hardware, optimizing for performance and efficiency. This innovative approach facilitates the use of heterogeneous systems across multiple vendors and generations of hardware, including the latest cutting-edge accelerators, enabling substantial improvements in performance and cost efficiency at scale.Furthermore, Gimlet is developing a robust production-grade neocloud tailored for agentic workloads. Our customers benefit from deploying and managing their workloads seamlessly through stable, production-ready APIs, alleviating the need to focus on hardware selection, placement, or intricate performance optimizations.Collaborating with foundation labs, hyperscalers, and AI-native organizations, Gimlet powers real-world production workloads capable of scaling to gigawatt-class AI datacenters.Gimlet Labs is on the lookout for a Technical Staff Intern to assist in the development of our platform dedicated to deploying and monitoring AI workloads. In this role, you will leverage the latest AI methodologies to create frameworks that enhance and optimize AI workloads. You will play a vital role in advancing Gimlet’s unique compilation framework, facilitating the partitioning and orchestration of AI workloads across varied hardware environments. Your designs will lead to scalable systems capable of handling production workloads of millions of requests per second.

About Anthropic Anthropic builds AI systems with a focus on reliability, interpretability, and effective guidance. The company’s mission is to make AI safe and beneficial for both users and society. The team includes researchers, engineers, policy experts, and business leaders, all working together to create AI that serves humanity’s needs. Beneficial Deployments Initiative The Beneficial Deployments initiative works to bring AI technology to communities that can benefit most. Anthropic partners with nonprofits, foundations, and mission-driven organizations, using Claude to support sectors like education, global health, economic mobility, and life sciences. The goal: help organizations address some of humanity’s toughest challenges. Role Overview: Global Leader, Applied AI Architects for Beneficial Deployments This role leads the Applied AI Architects team, which serves as the main technical partner for nonprofits and mission-driven organizations deploying Claude. The leader will build and grow a globally distributed team, helping turn advanced AI into practical solutions in areas such as education, health, and economic opportunity. The position also shapes how Anthropic approaches and executes key societal partnerships. What You Will Do Grow and guide a team of Applied AI Architects supporting mission-driven organizations worldwide Set the vision for scaling expertise from flagship partnerships to a broad network of AI-native organizations Oversee team dynamics, processes, and cross-functional relationships needed for success Work closely with leaders in Nonprofits, Product, Engineering, Policy, and GTM to help partners integrate Claude responsibly and effectively Represent Anthropic as a senior technical leader in high-profile partnerships, maintaining the company’s safety standards Who We’re Looking For Deep technical expertise in AI and experience leading technical teams Comfort working across sectors, regions, and partner types (from global health foundations to research institutions and nonprofits) Leadership skills to build, motivate, and scale a global team Ability to shape cross-functional collaboration and drive complex partnerships Commitment to responsible AI deployment and upholding safety standards Location San Francisco, CA or New York City, NY

Technical Staff Member in Applied AIAbout the OpportunityWe are seeking a highly skilled Technical Staff Member specializing in generative modeling to bridge the gap between our advanced models and the clients who rely on them. You will collaborate with a diverse team of machine learning experts, protein engineers, and biologists to revolutionize biological control and disease treatment. Your role will involve gaining a comprehensive understanding of our proprietary generative models and leveraging that expertise to deploy, adapt, and optimize these models in client environments, particularly within the pharmaceutical and biotech industries.This hybrid position requires a research-oriented mindset to deeply understand our models, paired with the communication skills necessary to translate that knowledge into production systems that yield scientific value for our collaborators.About UsAt Latent Labs, we are pioneering frontier models that decode the fundamentals of biology. Our ambitious goals are driven by curiosity and a commitment to scientific excellence. Prior to founding Latent Labs, our team co-developed DeepMind's Nobel Prize-winning AlphaFold, innovated latent diffusion, and created groundbreaking lab data management systems along with high-throughput protein screening platforms. Here, you will work alongside some of the brightest minds in generative AI and biology.We value interdisciplinary collaboration, continuous learning, and teamwork. Our team offsites foster a culture of trust and connection between our London and San Francisco offices. We are looking for innovators who are passionate about solving complex problems and making a positive global impact. Join us on our ambitious mission.Your QualificationsExpertise in Machine Learning: You are a proficient ML researcher with a strong background in generative modeling, evidenced by your contributions to notable open-source projects, impactful product launches, or significant publications in leading venues such as NeurIPS, ICML, ICLR, or Nature. You possess a deep understanding of generative model architectures, training dynamics, and inference behavior.Proficient ML Developer: You produce robust, tested, and maintainable ML code. Your experience includes using version control and code review systems. You are adept at rapid prototyping while also being able to write elegant production code. Additionally, you have experience in building systems that deploy large models via APIs and executing inference tasks in production environments.

About the TeamAt OpenAI, our Forward Deployed Engineering (FDE) organization exists at the crucial intersection of product design, engineering, research, and market strategy. We are dedicated to transforming cutting-edge platform capabilities into practical applications by collaborating with design partners, converting raw customer feedback into tangible software, repeatable processes, and robust products.The FDE Platform team acts as a vital leverage function that amplifies the impact of the FDE organization on OpenAI’s products and platform. By integrating with customer-focused FDE pods, we provide hands-on support in areas such as architecture, product development, refactoring, and construction. This position is ideal for collaborative software engineers who are passionate about innovating with fellow creators on state-of-the-art products.About the RoleAs a pioneering Technical Deployment Lead (TDL) for the FDE Platform team, you will play a crucial role in ensuring the success of our earliest deployments with design partners, guiding them from initial planning and defining success metrics through to production and measurable value realization.This role is both operationally intensive and technically demanding: you will foster alignment among OpenAI and customer stakeholders, oversee the delivery plan across interconnected workstreams, and proactively address enterprise constraints to avoid late-stage discoveries. You will collaborate closely with both B2B and FDE Platform teams to ensure precise execution, transparent tradeoffs, and a scalable rollout strategy for our platform design partners. Success will be evaluated based on delivered outcomes and adoption within critical workflows rather than mere activity metrics.Your success will be quantified through impactful platform outcomes, which include successful deployments that deliver measurable value aligned with customer objectives, foster user adoption, and become integral to their workflows. Additional success metrics will encompass delivery reliability (on-time milestones, minimal reopen/churn), operational leverage (reuse of patterns across deployments), capacity for sound judgment under pressure, and product impact (field data that influences roadmaps and architectures).This position is based in San Francisco or New York City. Our hybrid work model requires employees to be in the office three days per week. We provide relocation assistance, and travel up to 50% is expected.In This Role, You WillDefine Pilot Scope and Success Criteria: Collaborate with customer sponsors and technical leads to translate goals into actionable plans, measurable outcomes, and clear acceptance criteria.Oversee Delivery Plans Across Workstreams: Manage the delivery process across multiple interdependent streams to ensure cohesive execution and successful deployment.

Join Liquid AI as a Technical Staff Member specializing in Applied Vision. In this dynamic role, you will leverage cutting-edge technology to develop innovative solutions and enhance our product offerings. This position is ideal for recent graduates with a passion for technology and a desire to make a meaningful impact in the field of artificial intelligence.

About UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems often fall short as they lack the ability to adapt based on feedback. Our innovative continual learning layer captures context, memory, and decision-making processes across the enterprise, enabling specialized agents to engage in meaningful work.What Excites Us: We operate at the exciting intersection of product development and cutting-edge research. Our product team designs the platform that empowers a new generation of digital coworkers, while our research team drives advancements in post-training and reinforcement learning to enhance user experiences. As an applied research engineer, you will work directly with clients to implement models in production, combining robust product development with deep research insights to facilitate AI integration in enterprises.Meet Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have previously built reinforcement learning infrastructure at OpenAI, established data foundations at Scale AI, and contributed to significant systems at companies like Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are proud to be backed by reputable investors such as Benchmark, Sequoia, and Lux.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel comfortable navigating new environments rapidly—be it a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment for customer interaction, empathy, and a deep understanding of their operational workflows are essential. Candidates with entrepreneurial backgrounds, extensive side projects, or a proven track record of end-to-end ownership typically excel in our environment.