Machine Learning Fellow - Human Frontier Collective

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    Scale AI

    Making AI work since 2016

    501-1,000 employeesFounded 2016San Francisco, CaliforniaSoftware Development
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    Best applied by Oct 24

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    About the role#

    The Human Frontier Collective Fellowship connects researchers and domain experts to work on projects that shape the future of AI. As a Fellow, you will apply your expertise to design, evaluate, and interpret generative AI systems. This is a remote, independent contractor position with an estimated duration of six months and the potential for extension.

    What you'll do#

    • Engage in projects with partnered AI labs and platforms.
    • Design, review, and optimize PyTorch models to improve deep learning workflows.
    • Evaluate complex ML code and AI-generated implementations for efficiency and correctness.
    • Provide advice on GPU optimization, scaling, and technical trade-offs.
    • Collaborate with the research team to co-author technical reports and research papers.

    What you'll need#

    • A PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.
    • 1-3+ years of experience working as a Machine Learning Engineer or Data Scientist.
    • Strong proficiency in Python and modern ML frameworks like PyTorch or TensorFlow.
    • Experience with cloud infrastructure such as AWS and MLOps tools like Docker or Langchain.
    • A detail-oriented approach and an interest in applied AI research.

    Location & details#

    • This role is fully remote for candidates authorized to work in Canada.
    • The position is a 1099 independent contractor opportunity.
    • You may set your own schedule with flexible hours ranging from 10 to 40 hours per week.
    • Applications are reviewed on a rolling basis.

    About Scale AI

    Scale AI provides data and technology for the development of artificial intelligence systems. Founded in 2016 and based in San Francisco, the company operates in the software development sector. Its platform supports the creation and evaluation of generative models for enterprise and government clients. The organization employs over 6,000 people.

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