2 months ago
Mountain View, CA, USASenior / Staff+
H1B Sponsor
Base Salary
$251k - $310k/yr
Responsibilities
- Apply machine learning expertise to improve the quality and accuracy of labeled data derived from multimodal sensors.
- Develop models to identify and correct issues in perception-based simulation data.
- Analyze data quality, investigate anomalies, and improve data-labeling pipelines.
- Collaborate with perception and simulation teams to refine data requirements and quality standards.
- Lead efforts addressing complex data-quality challenges and define machine learning strategies for high-fidelity data generation.
Requirements
- Bachelor’s or master’s degree in Computer Science or a related field.
- 5+ years of applied deep learning or machine learning experience for L5, or 7+ years for L6.
- Strong background in computer vision, sensor fusion, or perception.
- Proficiency in Python and common machine learning frameworks such as TensorFlow and PyTorch.
- Experience with data analysis and quality assessment.
- Strong coding and design skills.
- Preferred: PhD in Computer Science or a similar discipline.
- Preferred: experience with autonomous-vehicle sensor data and data-labeling processes.
- Preferred: experience taking machine learning models from research to production.
Benefits
- Eligible for a discretionary annual bonus program, equity incentive plan, and company benefits program, subject to eligibility requirements.
- Hybrid work arrangement.
- Full-time position.
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.
