Machine Learning Engineer, Distributed Systems
4 weeks ago
Waymo is a leading autonomous driving technology company with a mission to be the most trusted driver. Our team is dedicated to building the Waymo Driver, a software stack that enables our vehicles to navigate complex environments and interact with their surroundings. We are seeking a highly skilled Machine Learning Engineer to join our team and contribute to the development of our autonomous driving software.
Key Responsibilities:- Design and develop distributed training infrastructure for our machine learning models, ensuring scalability, reliability, and performance.
- Implement automation solutions for provisioning, deployment, monitoring, and scaling of distributed training infrastructure.
- Collaborate with cross-functional teams to identify performance bottlenecks and optimize our machine learning framework.
- Develop and maintain high-quality software components, ensuring they meet our rigorous testing and validation standards.
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
- Strong background in distributed systems, machine learning, and software development.
- Experience with Python or C++ programming languages.
- Familiarity with machine learning frameworks, such as TensorFlow or PyTorch.
- Practical experience with ML accelerator profiling tools.
- Familiarity with cloud computing platforms, such as AWS, Azure, or GCP.
- Knowledge of optimization and deep learning algorithms.
Waymo offers a competitive salary range of $158,000 - $200,000 USD, as well as a discretionary annual bonus program, equity incentive plan, and generous company benefits program. If you are passionate about autonomous driving and machine learning, we encourage you to apply for this exciting opportunity.
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