9 months ago
Base Salary
$204k - $259k/yr
Responsibilities
- Report to the Technical Lead Manager for the Learned Metrics Team.
- Develop machine learning models that assess autonomous vehicle behavior.
- Develop infrastructure to support performant machine learning models.
- Collaborate across teams to bring state-of-the-art machine learning into production.
- Build and operate large-scale machine learning and data systems, simulation workflows, and insight tools.
Requirements
- Bachelor’s degree in Computer Science, Robotics, Statistics, Physics, Mathematics, or another quantitative area, or equivalent work experience.
- At least 2 years of experience building productionized machine learning models.
- Production systems coding and design skills with Python and C++.
- Background in applied deep learning.
- Track record of improving model quality.
- Preferred: 4 or more years of experience building productionized machine learning models.
- Preferred: experience with reinforcement learning, transfer learning, or learning.
- Preferred: experience with large-scale data and models.
Benefits
- Eligibility for a discretionary annual bonus program, equity incentive plan, and company benefits program.
- Full-time position with location-specific salary ranges shared during the hiring process, including for remote work where applicable.
Categories
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.