Senior Software Engineer - Performance Prediction
Latitude AIabout 3 hours ago
Palo Alto, CA, USA or Pittsburgh, PA, USA
Senior / Mid Level
H1B Sponsor
Base Salary
$179k - $269k/yr
Responsibilities
- Build production software for model training, offline evaluation, and release-comparison workflows.
- Develop and improve learned models for performance prediction, including behavior classifiers and probabilistic prediction models.
- Design training, validation, and holdout strategies that produce trustworthy results.
- Define and track model and release metrics such as precision, recall, F1, ROC AUC, calibration quality, and task-specific forecasting metrics.
- Run experiments, tune models, and analyze results with strong statistical rigor.
- Build internal tools that help engineers compare software versions, inspect model outputs, and investigate regressions.
- Partner with autonomy, simulation, and infrastructure teams to move ideas from prototype to production.
- Raise engineering quality through testing, code review, CI, and maintainable interfaces across data, modeling, and product layers.
Requirements
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD).
- Strong software engineering skills in Python, including experience building modular, maintainable, well-tested systems in a shared codebase.
- Experience developing, training, tuning, or productionizing supervised ML models.
- Strong grounding in statistics and experimental design, including experience designing model training and evaluation tests.
- Experience selecting and interpreting model metrics, thresholds, and tradeoffs for real-world decision-making.
- Experience with ML tooling such as PyTorch, scikit-learn, or similar frameworks.
- Experience working with large datasets using SQL, pandas, and NumPy.
- Strong communication skills and the ability to work effectively across software, ML, and autonomy teams.
Benefits
- Competitive compensation packages.
- High-quality individual and family medical, dental, and vision insurance.
- Health savings account with available employer match.
- Employer-matched 401(k) retirement plan with immediate vesting.
- Employer-paid group term life insurance and the option to elect voluntary life insurance.
- Paid parental leave.
- Paid medical leave.
- Unlimited vacation.
- 15 paid holidays.
- Daily lunches, snacks, and beverages available in all office locations.
- Pre-tax spending accounts for healthcare and dependent care expenses.
- Pre-tax commuter benefits.
- Monthly wellness stipend.
- Adoption/Surrogacy support program.
- Backup child and elder care program.
- Professional development reimbursement.
- Employee assistance program.
- Discounted programs that include legal services, identity theft protection, pet insurance, and more.
- Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives.
Tech Stack
Apache AirflowBazelNumPyPandasPythonPyTorchscikit-learnSQL
Categories
AI & MLData Science