Motion Recruitment

Mid level Machine Learning Engineer/ On-site/ Moun...

Job description

Exciting Opportunity at an Up and Coming Startup in Mountain View

Are you ready to revolutionize the automotive industry and drive the future of self-driving technology? This startup, headquartered in Mountain View with additional offices in Dallas, Detroit, and Sydney, is seeking a passionate Machine Learning Engineer to join their cutting-edge Model Engineering team. Their mission is to make self-driving accessible to everyone, and we're achieving this through breakthroughs in artificial intelligence that ensure safe and scalable highway autonomy for consumer cars.

Why Should You Join?

This startup does not just build self-driving cars; they are reimagining the future of transportation. The #1 feature of this opportunity is being part of a small, multi-disciplinary team that thrives on tackling one of the toughest challenges in technology. As a Machine Learning Engineer, you'll contribute to a complete autonomy solution that evolves and improves year after year, impacting millions of drivers worldwide.

  • Innovation and Impact:
    • Solve complex problems with novel technology.
    • Contribute to making highway autonomy safe and scalable for the consumer car market.
  • Continuous Learning:
    • Work on real-world, open-ended challenges with noisy data.
    • Shape the future of self-driving technology and constantly learn in a dynamic environment.
  • Fulfilling Work:
    • Be responsible for both invention and productization.
    • See the tangible impact of your solutions on the road.
The Role: Machine Learning Engineer

As a key member of their Model Engineering team, you'll play a pivotal role in building and testing the models that power their autonomous vehicles. With the backing of a proven founding team, you'll face complex and open-ended challenges with the potential for enormous impact. At this startup, they know where they are going, but they invite you to shape how they get there.


  • Professional experience with real-world, physical data.
  • Strong knowledge of machine learning, data engineering, and deep learning frameworks.
  • Ability to fine-tune GPT models.
  • Track record of shipping models and code into production.
  • Strong programming skills in object-oriented languages, with debugging and optimization abilities.


  • Medical, Vision, and Dental coverage with various plan options.
  • 401(k) plan.
  • Life Insurance.

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Posted By: Max LeDang

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