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Staff Software Engineer, Machine Learning - Planner Selection

Waymo LLCMountain View, California, USA
Hybrid Full-time $238K/yr - $302K/yr

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Experience Level

Mid to Senior

Qualifications

Required Qualifications:Master's or PhD in Computer Science, Machine Learning, or a related field. Strong programming skills in C++ or Python. Experience with deploying machine learning models in production environments. Preferred Qualifications:Background in Autonomous Vehicles (AV) or Robotics.8+ years of software engineering experience in intricate systems.

About the job

Waymo is a pioneering autonomous driving technology firm dedicated to becoming the world’s most reliable driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has committed itself to developing the Waymo Driver, The World’s Most Experienced Driver™, to enhance mobility access while aiming to save thousands of lives lost in traffic accidents. The Waymo Driver underpins Waymo’s fully autonomous ride-hailing services and can be adapted across various vehicle platforms and applications. With more than ten million rider-only trips completed, it has driven over 100 million miles on public roads and tens of billions of miles in simulations across 15+ U. S. states.

In this hybrid role, you will work closely under the guidance of a Technical Lead in Planner Technology.

Your Responsibilities:

  • Analyze driving behavior issues from logs to identify underlying causes.
  • Enhance the performance of cutting-edge machine learning models in the Planner.
  • Build foundational frameworks to further the capabilities of the Waymo Driver.
  • Broaden the influence of machine learning models while maintaining interpretability and behavioral assurances.
  • Contribute to solving some of the most complex driving scenarios.

About Waymo LLC

Waymo is at the forefront of autonomous driving technology, striving to make self-driving cars safe and accessible for everyone. With a rich history stemming from Google's ambitious project, Waymo is dedicated to transforming transportation through innovative solutions and a commitment to safety.

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