10 months ago
Mountain View, CA, USA or San Francisco, CA, USAMid Level
H1B sponsor
Base Salary
$170k - $216k/yr
Responsibilities
- Build multimodal sensor fusion architectures and spatial-temporal representation learners for object detection and tracking, occupancy, semantic segmentation, and road understanding.
- Develop scalable methods and recipes for large-data and large-model training on Alphabet’s compute infrastructure, including pre-training and post-training.
- Develop distributed fine-tuning methods that enable multiple developers to improve models simultaneously and prevent regression against production systems.
- Develop and maintain model evaluation recipes and metrics for improving pre-trained and fine-tuned model performance.
Requirements
- Bachelor’s degree in Computer Science or a similar discipline, or an equivalent amount of deep learning experience.
- At least 3 years of experience in machine learning and/or computer vision.
- Experience with Python.
- Experience with machine learning frameworks such as PyTorch or JAX.
- Preferred: MS or PhD in Machine Learning, Robotics, Computer Science, or a similar discipline.
- Preferred: Publications at top-tier conferences such as CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, or PAMI.
- Preferred: Experience with C++.
Benefits
- Hybrid work arrangement.
- Eligibility for a discretionary annual bonus program, equity incentive plan, and company benefits program.
- Full-time position.
Categories
ML EngineeringRobotics
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.