PhD/MS Software Engineer Intern - ML Systems & RL

Waymo LLC

Mountain View (CA)

Hybrid

USD 96,000 - 117,000

Full time

14 days+

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Benefits offered by this job

Housing/relocation bonus
Medical, dental, and vision insurance
Free meals on site
Shuttle access

Job summary

Waymo LLC is seeking a research‑oriented software intern in Mountain View to advance RL/ML infrastructure for the LPM model. You will work with SIML on scalable ML frameworks, profiling performance, and implementing efficient training pipelines.

The role targets students pursuing a PhD or Master’s in CS/EE/ML/Robotics, with strong Python skills and experience in ML/DL/RL. Hybrid onsite work and company benefits are provided.

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
Strong math foundation
Academic research mindset

Education

PhD or Masters degree in CS/EE/ML/Robotics

Tools

JAX
Flax
PyTorch
TensorFlow

Job description

Waymo LLC is seeking a research‑oriented software intern in Mountain View to advance RL/ML infrastructure for the LPM model. You will work with SIML on scalable ML frameworks, profiling performance, and implementing efficient training pipelines.

The role targets students pursuing a PhD or Master’s in CS/EE/ML/Robotics, with strong Python skills and experience in ML/DL/RL. Hybrid onsite work and company benefits are provided.

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