about 2 hours ago
Mountain View, CA, USA or San Francisco, CA, USA
Staff+
H1B Sponsor
Base Salary
$251k - $310k/yr
Responsibilities
- Lead and develop ML solutions for the Waymo driver's decision making and motion planning.
- Analyze, finetune, and evaluate model performance using data-driven approaches.
- Integrate and deploy ML models on the fleet, conducting end-to-end validation and on-field monitoring.
- Stay up-to-date with advancements in autonomous driving and machine learning.
- Collaborate closely with partner teams such as perception, research, simulation, and evaluation.
- Mentor engineers in leading the adoption of ML-based approaches.
Requirements
- PhD, Masters, or Bachelors degree in Computer Science, Machine Learning, Robotics, or a related field.
- 7+ years of software engineering/machine learning experience.
- Experience in applied machine learning including deep learning models and reinforcement learning.
- Proficiency in dealing with large scale models and datasets.
- High quality API design with an eye towards evaluation and data-driven techniques.
- Proficiency in Python and at least one deep learning framework (e.g., PyTorch, JAX, or TensorFlow).
Benefits
- Eligible for Waymo’s discretionary annual bonus program.
- Participation in equity incentive plan.
- Generous Company benefits program.
Tech Stack
C++PythonPyTorchTensorFlow
Categories
AI & MLData Science