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    Remote - Machine Learning Engineer - Remote - San Francisco, CA, United States - Ritual

    Ritual
    Ritual San Francisco, CA, United States

    2 weeks ago

    Default job background
    Description
    About Ritual
    Ritual is the network for open AI infrastructure. We build groundbreaking, new architecture on a crowdsourced governance layer aimed to handle safety, funding, alignment, and model maintenance.
    Join us on the journey to decentralize AI
    About the role
    We are looking for a talented and motivated Machine Learning Product Engineer to join our team.

    In this role, you will work on a variety of projects related to applied machine learning, including working with the product team on automating Data ETL pipelines, deploying machine learning models, and shipping customer-facing products.

    Scale up model inference and running predictions at scale on cutting-edge models
    Work end to end to connect ML models to human interfaces (e.g. APIs, browsers, and applications)
    Designing and implementing large-scale data and ML pipelines through a full end-to-end product development lifecycle
    Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations teammates to create cutting-edge products
    About you
    Experience as a software engineer
    Experience building and serving machine learning models
    Familiarity with Python and related ML frameworks such as PyTorch, Tensorflow, Jax, and other open-source stacks such as HuggingFace
    Ability to reason through machine learning system tradeoffs
    A high level of end-to-end ownership and self-direction
    Extras
    Familiarity with basic machine learning system stacks e.g. TinyML, Triton, CUDA, ROCm, Exo, MLIR, Halide, etc
    Familiarity with DataOps, MLOps, and ML orchestration pipelines
    Understanding of modern ML architectures and intuition for inference performance tradeoffs
    Experience or interest in working on open-source ML products
    Interest in building tech aligned with user privacy, computational integrity, and/or censorship resistance
    Experience at fast-growing companies or startups
    Why join us
    Join a passionate group of engineers, researchers, and operators on a mission to build the next generation of AI infrastructure
    Enjoy high-quality healthcare
    Plan ahead with our company 401k match
    Work the way you work best - Remote and/or hybrid
    Be rewarded for your work with our competitive salary philosophy
    Participate in virtual and in-person events
    Much much more
    #J-18808-Ljbffr
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