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    Machine Learning Engineer - Austin, United States - Apollo Solutions

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    Description
    Machine Learning Engineer

    An AI/ML mid/late-stage start-up developing software for self-driving cars is looking to further scale their engineering function across the US. They are harnessing AI/ML to create software which will allow self-driving cars to accurately navigate surroundings whilst ensuring safety is built into every step of the process.

    The business has a strong physical preference in San Francisco as well as having remote workers across the US.

    They are looking to hire a strong Machine Learning Engineer to architect, code and tune their large-scale ML models.

    Responsibilities:
    • Take ownership of large scale machine learning models including the design, building and tuning of models.
    • Play a key role is shaping the future direction of their AI/ML teams.
    • Work collaboratively with engineering, product and design functions within the business.
    • Mentor junior members of the team
    Qualifications:
    • BSc or MSc in Computer Science/Mathematics or similar fields.
    • Previous experience building and operating large scale AI/ML systems is preferred.
    • 5+ working in a modern software engineering environment.
    • Experience with key ML technologies for example Theano or Torch.


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