Handshake

Handshake

Senior AI Forward Deployed Engineer

San Francisco, CA · Senior · Full-time

Sponsorship not specifiedDetected 13 days ago
PythonMachine LearningData EngineeringLLMsResearchCommunication

About the role

  • You think like a researcher and ship like an engineer.
  • You default to action and figure things out in motion.
  • This is a rare role: deep AI knowledge, real customer ownership, and the chance to influence how frontier models get trained.

Responsibilities

  • Design and deliver evaluation frameworks, annotation pipelines, and benchmark infrastructure tailored to each lab's training methodology
  • Partner directly with AI lab researchers to understand their post-training goals and data requirements, translating ambiguous research questions into scoped, executable projects
  • Prototype and iterate fast: stand up lightweight experiments, run evals, and interpret results in tight feedback loops with research partners
  • Make key design decisions around data quality and evaluation design that hold up at scale
  • Identify and document repeatable patterns across lab engagements to accelerate future deployments

Requirements

  • 6+ years of experience in applied ML, AI research engineering, or a closely related field with real exposure to model training workflows and post-training techniques
  • Hands-on experience fine-tuning or lightweight optimization of ML models (Tinker, LoRA, PEFT, or similar).
  • Strong prioritization instincts: you know how to triage across multiple urgent customer needs and guide your team toward the highest-leverage work
  • Track record of leading technical projects end-to-end in ambiguous, fast-moving environments
  • Experience with evaluation design for LLMs or RLHF pipelines in production customer environments
  • Prior experience in a forward-deployed, solutions engineering, or technical consulting role at a high-growth AI company
  • Familiarity with annotation platform tooling, quality control frameworks, or human feedback collection at scale

Skills

  • Experience with ML data pipelines and the tooling around them (e.g., data labeling systems, eval frameworks, quality metrics)

Compensation

  • 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching

Benefits

  • Handshake 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
  • Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions
  • Build a massive, fast-growing business with billions in revenue

This listing is sourced directly from Handshake's careers page and normalized into a canonical job model.