Director, Applied Machine Learning
San Francisco, CA - USA
Job Summary
About Handshake
Handshake 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 1600 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. Weve grown from $0 to $1B run rate and pay $60M to over 30K individuals every month.
Why join Handshake now:
Shape how every career evolves in the AI economy at global scale with impact your friends family and peers can see and feel
Partner hand-in-hand with world-class AI labs Fortune 500 partners and the worlds top educational institutions
Work together with engineers scientists operators and more from Palantir Meta Scale AI and former YC founders
Build a massive fast-growing business with billions in revenue
About Handshake AI
Human 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 Role
As Director of Applied ML youll lead the function that sits at the intersection of frontier AI research and enterprise-scale delivery. Youll 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.
Youll 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 office
What youll do:
Lead post-training and RL environment strategy you dont need to be the deepest technical expert but your team needs to be able to lean on you for real guidance grounded in lab experience
Build and scale the infrastructure and team needed to run post-training at scale across multiple applied use cases
Own strategic project support across lab engagements leading your team through a dynamic evolving roadmap rather than executing the work solo
Manage and grow a team including AI Engineers Research Scientists and AI Forward Deployed Engineers with a path toward managing managers as the org scales
Partner directly with AI lab researchers and internal stakeholders across engineering and operations translating ambiguous priorities into clear direction for your team
Maintain direct customer relationships following up communicating progress and building trust with technical partners
Bring organizational maturity to a fast-growing team: solve todays problems with todays resources while planning several steps ahead
Stay current on the frontier: RL post-training and evaluation methods bringing relevant insight into both team strategy and customer conversations
What were looking for:
Experience leading and growing technical teams ideally with a research background in applied ML or AI
Technical depth in applied AI systems design and model post-training (GRPO/PPO SFT or similar) enough to support a research-leaning team though you dont need to have trained frontier models yourself
Experience building and scaling teams or infrastructure in an applied production environment
Strong cross-functional leadership comfortable working across engineering and operations and managing shifting timelines with a team in tow
Excellent client-facing communication skills you can translate technical work into business impact and hold your own with both researchers and customers
Organizational maturity and comfort with ambiguity youll need to be creative in solving problems as they arrive
Extra Credit:
Prior lab experience deploying or training agents for applied real-world use cases
Experience managing managers or scaling a team through multiple growth stages
Familiarity with evaluation frameworks annotation tooling or human feedback collection at scale
Perks
Handshake delivers benefits that help you feel supportedand 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: $2000 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 bonuses
Required Experience:
Director
About Company
The better career platform for Gen Z changing how, where, and why the next generation of talent builds their career.