Senior Autonomous Systems Engineer
3 weeks ago
Company Overview
Waymo is a leader in autonomous driving technology with a mission to improve access to mobility while saving thousands of lives. Our innovative Waymo Driver has provided over one million rider-only trips, enabling its experience autonomously driving tens of millions of miles on public roads and simulation.
Job Description
We are seeking an experienced Senior Machine Learning Engineer to join our Hybrid team, responsible for developing the infrastructure components necessary for distributed training. This includes implementing automation solutions for provisioning, deployment, monitoring, and scaling of distributed training infrastructure.
Responsibilities
- Design and develop scalable ML frameworks
- Implement automation solutions for provisioning and deployment of distributed training infrastructure
- Monitor system health and diagnose issues to ensure reliability
- Identify performance bottlenecks and optimization opportunities
- Improve developer experience and performance of our ML framework
Requirements
- Bachelor's degree in Computer Science or related field, or equivalent experience
- Experience building distributed systems for production environments
- Solid Python or C++ skills
- Prior experience with Machine Learning frameworks (e.g., TensorFlow, PyTorch) and distributed training algorithms
Salary and Benefits
The expected base salary range for this position is $192,000-$243,000 USD. Waymo employees are also eligible to participate in our discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
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