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Ghost Autonomy

Machine Learning Engineer

Mountain View, CA
Mid-Senior level

About Ghost

At Ghost, our mission is to make self-driving for everyone. We build autonomous driving software for automakers, based on a breakthrough in artificial intelligence that finally makes highway autonomy safe and scalable for the consumer car market.

Ghost helps automakers reimagine the car of the future with a complete autonomy solution that can be fully customized and continuously upgraded, delivering a car that keeps getting better year after year.

At Ghost, we are responsible for both invention and productization – not only solving complex problems with novel technology but making sure that it can scale to millions of drivers on the road. It’s a bold undertaking, but one that makes for constant learning, real-world impact, and fulfilling work. Together, we are a small, multi-disciplinary team tackling one of the hardest challenges in technology today.

Ghost was founded in 2017 by John Hayes and Volkmar Uhlig. Before Ghost, John co-founded Pure Storage, taking the company public in 2015.

Ghost has over a hundred employees across its headquarters in Mountain View and additional offices in Dallas, Detroit, and Sydney. Ghost has raised over $200 million from investors including Mike Speiser at Sutter Hill Ventures, Keith Rabois at Founders Fund, Vinod Khosla at Khosla Ventures, and OpenAI.

Learn more at

The Role

As a Machine Learning Engineer at Ghost, you will be part of a broader Model Engineering team responsible for building and testing the models that literally drive our vehicles. Operating on the noisy data of a real-world environment, the problems you face will be complex and open-ended, and the solutions you create have the potential for enormous impact. With a proven founding team and compelling plan, Ghost knows where it is going - but how it gets there will be up to you.


  • Professional experience working with real-world, physical data
  • Strong knowledge of machine learning, data engineering, deep learning frameworks, and related testing techniques
  • Ability to fine tune GPT models
  • A track record of having shipped models and code into production
  • Strong programming skills in object-oriented languages (functional programming is a plus), including ability to debug and optimize code


  • Medical, Vision and Dental coverage (PPO, HMO, and HSA options available; 100% premium coverage of several PPO and HMO plans for employees)
  • 401(k) plan
  • Life Insurance


Compensation for this role consists of a base salary and an options grant, with the base salary expected to range from $175,000 to $275,000+. Individual compensation will be commensurate with the candidate’s experience.

Ghost is committed to equal employment opportunity. We will not discriminate against employees or applicants for employment on any legally‑recognized basis [“protected class”] including, but not limited to: veteran status, uniform service member status, race, color, religion, sex, national origin, age, physical or mental disability or any other protected class under federal, state or local law.

Key informations

Posted 5 months ago

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