ML Engineer – Evaluation Analysis, Metric and Data Strategy

The Productivity and Machine Learning Evaluation team is looking for an ML Engineer to ensure the quality of AI-powered features across productivity and creative applications. The role involves designing feature-level quality metrics, collaborating with partner teams on data collection strategies, and translating evaluation data into concise, actionable insights.

Requirements

• Bachelor’s degree in Statistics, Data Science, Applied Mathematics, Computer Science, or a related quantitative field
• 5+ years of experience in applied science, data science, or evaluation research
• Experience with statistical analysis methods including significance testing, sampling design, effect size estimation, and experimental design
• Proficiency in Python (pandas, scipy, scikit-learn) or R for data analysis and visualization

Benefits

• 401k Matching
• Retirement Plan
• Relocation Assistance