Machine Learning Engineer - San Francisco - Prima Mente

    Prima Mente
    Prima Mente San Francisco

    3 hours ago

    $80,000 - $140,000 (USD) per year *
    Description

    Job Summary:
    Prima Mente is a frontier biology AI lab focused on generating data and building biological foundation models. The role involves designing, implementing, and scaling foundational AI models for multi-omics, contributing to breakthroughs in science and medicine.

    Responsibilities:

    • Implement high-performance ML algorithms optimised for massive-scale, ensuring reliability, efficiency, and scalability.
    • Design, develop, and maintain robust experimentation pipelines enabling rapid iteration, precise evaluations, and reproducible research outcomes
    • Refactor and scale prototype research code into clean, maintainable, and performant repositories suitable for production-grade deployments.
    • Create high-speed data processing workflows capable of efficiently handling large-scale datasets to accelerate experimentation and model development.
    • Experimental design, prioritising high impact experiments with the highest signal:noise ratio.

    Qualifications:

    Required:

    • Deep understanding of state-of-the-art machine learning methodologies and proven experience in translating them into practical solutions.
    • Solid foundation in distributed computing principles, parallel processing, and algorithmic efficiency.
    • Experience optimizing ML algorithms for performance, memory efficiency, and compute resource utilization.
    • Deep expertise in modern ML frameworks and tools (e.g., PyTorch, JAX, TensorFlow)
    • Familiarity with state-of-the-art training, optimizing, and deploying large-scale models (7B+ parameters) and inference workflows.
    • Skilled in designing and implementing scalable data pipelines capable of rapid ingestion, transformation, and processing.
    • Skilled in clearly articulating complex ideas, effectively communicating why particular approaches succeed or fail, and providing insightful critical analyses.
    • Low level algorithm optimisation
    • quantization (8bit or lower)
    • JIT compilation
    • XLA/Mosaic/Triton/CUDA
    • Hardware optimisation (GPU/TPU/HPU)
    • Finetuning Optimization (QLora, QDora)
    • Large scale data above 2T tokens

    Company:
    The AI Biology company. Founded in 2022, the company is headquartered in London, GBR, with a team of 11-50 employees. The company is currently Early Stage.
    * This salary range is an estimation made by beBee
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