Member of Technical Staff, Data AI

📋 Description

• Design and build systems that improve the quality, scale, and safety of the data Handshake
• Translate ambiguous research, partner, or compliance needs into clear hypotheses, experiments
• Build and improve data-processing pipelines, evaluation frameworks, benchmarks, and quality-control
• Run fast, rigorous iteration loops: prototype, evaluate, interpret results, and turn learnings into
• Partner directly with researchers, domain experts, and—where relevant—legal and compliance teams to
• Identify repeatable patterns across engagements and productize them into reusable software and

🎯 Requirements

• 2–10 years of recent, demonstrated experience in one or more of: synthetic/LLM-generated data
• A hands-on individual contributor track record—this is not a team-lead or engineering-management
• Strong Python skills and the ability to write clean, efficient, scalable software for large, messy
• Sound judgment for reasoning about data quality, risk, and utility—forming hypotheses, choosing
• Experience designing systems—not only implementing specifications—including tradeoffs around
• Comfort operating in an ambiguous, fast-moving environment with substantial ownership.

🎁 Benefits

• Equity in a fast-growing company
• 401(k) match, competitive compensation, financial coaching
• Paid parental leave, fertility benefits, parental coaching
• Medical, dental, and vision, mental health support, $500 wellness stipend
• $2,000 learning stipend, ongoing development
• Commuting support, free lunch, and gym in our SF office