Director, Applied Machine Learning

About HandshakeHandshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.Why Join Handshake NowShape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feelPartner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutionsWork together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC foundersBuild a massive, fast-growing business with billions in revenueAbout Handshake AIHuman data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.About The RoleAs Director of Applied ML, you'll lead the function that sits at the intersection of frontier AI research and enterprise-scale delivery. You'll own three core pillars: post-training and RL environments, scaled post-training infrastructure, and strategic project support across our lab partnerships. You think like an applied researcher, lead like an operator, and move fluidly between technical depth and client-facing strategy.You'll build and grow a team, set the technical standards for how the team engages with frontier labs, and help shape the roadmap as we scale, not just execute against it. This is a rare opportunity to lead at the frontier of gen AI, with direct visibility into where model training is headed before the rest of the world sees it.Location: San Francisco, CA | Hybrid, 3x a week in officeWhat You'll DoLead post-training and RL environment strategy — you don't need to be the deepest technical expert, but your team needs to be able to lean on you for real guidance grounded in lab experienceBuild and scale the infrastructure and team needed to run post-training at scale across multiple applied use casesOwn strategic project support across lab engagements — leading your team through a dynamic, evolving roadmap rather than executing the work soloManage and grow a team including AI Engineers, Research Scientists and AI Forward Deployed Engineers, with a path toward managing managers as the org scalesPartner directly with AI lab researchers and internal stakeholders across engineering and operations, translating ambiguous priorities into clear direction for your teamMaintain direct customer relationships, following up, communicating progress, and building trust with technical partnersBring organizational maturity to a fast-growing team: solve today's problems with today's resources while planning several steps aheadStay current on the frontier: RL, post-training, and evaluation methods, bringing relevant insight into both team strategy and customer conversationsWhat We're Looking ForExperience leading and growing technical teams, ideally with a research background in applied ML or AITechnical depth in applied AI systems design and model post-training (GRPO/PPO, SFT, or similar) enough to support a research-leaning team, though you don't need to have trained frontier models yourselfExperience building and scaling teams or infrastructure in an applied, production environmentStrong cross-functional leadership, comfortable working across engineering and operations, and managing shifting timelines with a team in towExcellent client-facing communication skills — you can translate technical work into business impact and hold your own with both researchers and customersOrganizational maturity and comfort with ambiguity — you'll need to be creative in solving problems as they arriveExtra CreditPrior lab experience deploying or training agents for applied, real-world use casesExperience managing managers or scaling a team through multiple growth stagesFamiliarity with evaluation frameworks, annotation tooling, or human feedback collection at scalePerksHandshake delivers benefits that help you feel supported—and thrive at work and in life.The below benefits are for full-time US employees.🎯 Ownership: Equity in a fast-growing company💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching🍼 Family Support: Paid parental leave, fertility benefits, parental coaching💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend📚 Growth: $2,000 learning stipend, ongoing development💻 Office: Commuting support, free lunch, and gym in our SF office🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days🤝 Connection: Team outings & referral bonusesCompensation Range: $375K - $400K