GrepJob
Latitude AI

Senior Software Engineer - Performance Prediction

Latitude AI
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about 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