About the role#
This internship is part of the Systems Intelligence and Machine Learning team, specifically focusing on ML Frameworks and Efficiency. You will work on the infrastructure that powers our autonomous driving technology, helping to scale ML capabilities and improve training efficiency.
What you'll do#
- Learn the details of the current LPM model and the problems it addresses.
- Extend and improve reinforcement learning infrastructure to support LPM model training.
- Profile systems to identify and resolve performance bottlenecks.
- Maintain and improve overall training efficiency.
- Research new reinforcement learning technologies and integrate them into existing infrastructure.
What you'll need#
- Current enrollment in a Master or PhD program in Computer Science, Electrical Engineering, Machine Learning, Robotics, or a related field.
- A fundamental understanding of machine learning, deep learning, and reinforcement learning.
- Proficiency in Python and experience with modern frameworks like JAX, Flax, PyTorch, or TensorFlow.
- Hands-on project experience with machine learning or reinforcement learning.
- Experience with large-scale ML system infrastructure.
- Exposure to autonomous driving or related technologies.
Location & details#
- Location: Mountain View, California.
- Term: Summer 2027.
- Modality: Hybrid and on-site.
- This is a full-time, paid position.
- Compensation: $70 per hour for Master students and $85 per hour for PhD students.
- Benefits include medical, dental, and vision insurance, along with a housing or relocation bonus where applicable.
- On-site perks include daily meals, access to shuttles, and a gym.
About Waymo
Waymo is a technology company that develops automated driving systems. It focuses on mobility and road safety through its Waymo Driver technology. The firm operates as a private organization and employs between 1,001 and 5,000 people. It was founded in 2009 and maintains its headquarters in Mountain View, California.
How to get in at Waymo
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