Senior Software Engineer - Performance Prediction

📋 Description

• Build production software for model training, offline evaluation, and release-comparison workflows
• Develop and improve models for performance prediction, including classifiers and probabilistic predictors
• Design training, validation, and holdout strategies that produce trustworthy results
• Define and track metrics like precision, recall, F1, ROC AUC, calibration
• Run experiments, tune models, and analyze results with strong statistical rigor
• Build internal tools to compare software versions, inspect outputs, and investigate regressions

🎯 Requirements

• Bachelor's in CS/EE/Robotics; 4+ yrs experience (or MS 2+ yrs, or PhD)
• Python software engineering; modular, maintainable, well-tested code
• Experience developing/training/tuning/productionizing supervised ML models
• Strong statistics background; experimental design for training/evaluation
• Experience selecting/interpreting model metrics, thresholds, tradeoffs
• ML tooling: PyTorch, scikit-learn, or similar

🎁 Benefits

• Competitive compensation packages
• Medical, dental, and vision insurance
• Health savings account with employer match
• Employer-matched 401(k) retirement plan
• Employer-paid life insurance and voluntary life option
• Paid parental leave