San Francisco, Mountain View, KirklandFull TimeEngineering
Remotely
pytorchjaxtensorflowtransformershardingfsdpflaxdata parallel
Job Description
📋 Description
- Research and develop ML solutions for 3D perception using Camera, LiDAR, and Radar data.
- Collaborate with Waymo engineering/research teams to deploy models and optimize workflows for
- Implement techniques like quantization, pruning, distillation, and efficient attention.
- Build scalable data pipelines for Training & Eval from multiple data sources.
- Design evaluation frameworks for perception models and support large-scale distillation/inference
- Experiment with model partitioning/sharding to improve scalability and efficiency.
🎯 Requirements
- PhD or Master’s in CS/ML/Robotics with 4+ years in RL or Foundation Models.
- Experience with scalable, distributed training flows (data parallel, sharding).
- Proficiency in JAX, Flax, and possibly TensorFlow/PyTorch.
- Willingness to work with globally distributed inference infrastructure.
- Hands-on experience optimizing training/inference of Transformer architectures.
🎁 Benefits
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days/year
- Sick Time: 40 hours/year
- Maternity Leave: 28-30 weeks
- Holidays: 13 paid days/year
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