Ml Engineer

Waymo Logo

Waymo

πŸ’΅ $170k-$216k
πŸ“Remote - United States

Summary

Join Waymo's Research team as a remote Research Scientist and contribute to advancing the state-of-the-art in evaluating autonomous driving AI agents. You will incorporate cutting-edge research in robotics and machine learning, partner with cross-functional teams to implement innovative technology, and leverage Waymo's datasets and safety framework. This role requires a Master's degree in a relevant field, proficiency in Python and a deep learning framework, and prior experience evaluating ML models. Preferred qualifications include strong software engineering skills, publications in top-tier conferences, proficiency in C++, and experience in autonomous vehicle planning. Waymo offers a competitive salary, annual bonus program, equity incentive plan, and a generous benefits program.

Requirements

  • Masters degree in Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience
  • Proficiency in Python
  • Familiarity with one of the modern deep learning frameworks (e.g. Pytorch, JAX, Tensorflow)
  • Prior work in an industrial or research setting developing methodologies for the evaluation of ML models

Responsibilities

  • Incorporate and extend cutting edge research in robotics and machine learning to advance the state-of-the-art for evaluating the quality, safety and realism of our embodied AI agents
  • Partner within and across organizations to land disruptive and innovative tech in production
  • Work with a variety of state-of-the-art Foundation Models
  • Leverage our industry-leading datasets and state-of-the-art safety framework to land fleet-wide improvements in model performance

Preferred Qualifications

  • Strong hands-on SWE skills, able to design, implement, and extend large scale data and evaluation pipelines
  • Track record of publications in top-tier conferences or leading open source projects in the related fields
  • Proficiency in C++
  • Experience in AV planning and related research

Benefits

  • Discretionary annual bonus program
  • Equity incentive plan
  • Generous Company benefits program

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