2 months ago
Base Salary
$213k - $263k/yr
Responsibilities
- Lead end-to-end ML model development for safety-critical driving behaviors.
- Design experiments and assess results to make data-driven decisions.
- Develop new ways to gather required data and improve data quality.
- Communicate the benefits and limitations of new models and metrics to partner teams.
- Integrate and deploy metrics and models on fleet-wide data.
- Operate effectively across tactical and strategic timescales.
Requirements
- 5+ years of machine learning modeling experience in production environments at large scale.
- Solid understanding of physics, geometry, and dynamics.
- Proficiency in C++ and Python.
- Ability to learn and use new frameworks quickly, including with or without AI tools.
- Proven ability to work cross-functionally with Product and Engineering stakeholders.
- Experience working with machine learning models for autonomous systems is preferred.
- Proficiency in SQL is preferred.
Benefits
- Hybrid work schedule.
- Eligibility for a discretionary annual bonus program, equity incentive plan, and company benefits program, subject to eligibility requirements.
- Full-time position with salary varying by U.S. location.
Categories
ML EngineeringRobotics
About Waymo
On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today. Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings. Need support? Send us a message – we're here to help.