Director, Research - Evaluation & Training

Job summary

Responsibilities

We're looking for a manager to lead a team of researchers to focus on data evaluation, error analysis and data valuation methods to predict model performance. This team is responsible for showcasing the value and quality of Snorkel’s data for model training and evaluation, understanding where…

• Own a multi-quarter roadmap centered on novel evaluation, error analysis, and data valuation techniques
• Synthesize and share trends from model-failure analysis and benchmarking into recommendations on the datasets the community should focus on and the ones Snorkel should invest in…
• Focus on data valuation techniques that quantify how Snorkel data meaningfully improves model performance
• Lead and grow a team of researchers, setting a high bar for quality, rigor and speed of execution
• Act as the primary bridge between the team's findings and Product, GTM, and our customers

What they're looking for

• 7+ years in applied AI, ML, or research roles, with 4+ years managing technical teams.
• A leader who has repeatedly turned research and analysis into business outcomes, and who instinctively connects technical findings to market and customer needs.
• Strong business and market judgment in the AI/ML space — you understand the competitive and frontier-lab landscape and can prioritize accordingly.
• Technically conversant and credible: enough depth in LLM evaluation, benchmarking, and model behavior analysis to set direction, judge experimental quality, and pressure-test…
• A nose for trends: able to look across many evaluation results and failure cases and extract the signal that should drive what gets built next.