3 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
Waymo develops the Waymo Driver, a full-stack autonomous driving system, and operates the Waymo One robotaxi service that offers paid, driverless rides in select U.S. cities. The company monetizes through ride-hailing fares and partnerships integrating its technology on multiple vehicle platforms. Founded in 2009 as Google’s self-driving project, Waymo is headquartered in Mountain View and is an Alphabet subsidiary, with over 10 million rider-only trips and 100+ million autonomous miles on public roads.