Hybrid ML Systems Engineer Intern (MS/PhD)

Waymo LLC

Mountain View (CA)

Hybrid

USD 96,000 - 117,000

Full time

2 days ago
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Benefits offered by this job

Housing/relocation bonus
Medical, dental, vision insurance
Free meals and snacks
Onsite gym
Shuttle access

Job summary

Waymo LLC in Mountain View, CA, is seeking a research-oriented software internship focused on scaling the world’s most trusted driver by delivering ML capabilities and robust infrastructure for RL and LPM model training. The role offers hands-on work within the SIML subteam, collaborating with researchers and engineers to push the boundaries of autonomous driving technology.

You will join the Systems Intelligence and Machine Learning (SIML) team, focusing on ML frameworks, efficiency, and

Qualifications

  • Currently pursuing a PhD/Master degree in Computer Science, Electrical Engineering, Machine Learning, Robotics, or a related technical field
  • Fundamental understanding of machine learning, deep learning and reinforcement learning
  • Familiar with modern frameworks (JAX, Flax, PyTorch, or TensorFlow)
  • Strong software development skills with Python

Responsibilities

  • Understand the problem the current LPM model is trying to solve along with its details
  • Improve/extend the current RL infrastructure to support LPM model training needs
  • Profiling and understanding slowness, maintain and improve the training efficiency
  • Identify promising new RL technologies and integrate to our infrastructure

Skills

Python
Programming

Education

PhD/Master in CS/EE/ML/Robotics or related

Tools

JAX
Flax
PyTorch
TensorFlow

Job description

Waymo LLC in Mountain View, CA, is seeking a research-oriented software internship focused on scaling the world’s most trusted driver by delivering ML capabilities and robust infrastructure for RL and LPM model training. The role offers hands-on work within the SIML subteam, collaborating with researchers and engineers to push the boundaries of autonomous driving technology.

You will join the Systems Intelligence and Machine Learning (SIML) team, focusing on ML frameworks, efficiency, and

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