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ALSO

Senior Software Engineer, Algorithms + ML

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8 days ago
Palo Alto, CA, USASenior
H1B Sponsor

Base Salary

$170k - $205k/yr

Responsibilities

  • Design, develop, deploy, and iterate on algorithms and ML models across various platforms.
  • Translate customer needs into clear algorithmic requirements in collaboration with Product Managers and Designers.
  • Deploy algorithms into production and monitor their behavior in real-world environments.
  • Analyze model and algorithm performance using various testing and evaluation methods.
  • Design and maintain data schemas for efficient telemetry and model retraining.
  • Optimize algorithms for latency, battery usage, and robustness.
  • Investigate outliers and failure modes in production data.
  • Generate synthetic data for training and testing purposes.
  • Build processes to monitor model performance and data drift.
  • Collaborate on data pipelines that support model development and retraining.
  • Support algorithms used in customer-facing products and manufacturing workflows.
  • Manage technical priorities and project timelines in a fast-paced environment.
  • Communicate technical findings and improvement plans to stakeholders.

Requirements

  • 5+ years of experience in building algorithms, ML systems, or production software.
  • Proven track record of shipping algorithms or ML models into production.
  • Strong programming skills in Python and C/C++ for production-quality code.
  • Experience with SQL and Data Warehousing solutions like DataBricks or Snowflake.
  • Practical knowledge of algorithm development and model building using tools like MATLAB or TensorFlow.
  • Familiarity with deploying models to edge environments using frameworks like TensorFlow Lite.
  • Ability to optimize algorithms against real-world constraints.
  • Experience with telemetry and production performance data analysis.
  • Hands-on experience with data schemas and telemetry flows.
  • Knowledge of experimentation methods like A/B testing and simulation.
  • Familiarity with CI/CD pipelines and MLOps workflows.
  • Domain knowledge in mobility, IoT, automotive, or related fields.
  • Strong collaboration and communication skills.

Benefits

  • 100% coverage of health, dental, and vision insurance with FSA & HSA options.
  • One Medical membership and dedicated insurance advocates.
  • Rich fertility and family-building benefits with Progyny.
  • Flexible time off.
  • 401(k) match.

Tech Stack

C++DatabricksDockerMATLABNumPyPythonPyTorchSciPySnowflakeSQLTensorFlow

Categories

AI & MLData EngineeringEmbeddedMobile