- 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.
- 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
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Machine Learning Engineer - San Francisco - Prima Mente
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:
Qualifications:
Required:
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.
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Machine Learning Engineer, Reinforcement Learning
Only for registered members San Francisco, CA
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Machine Learning Engineer, Reinforcement Learning
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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Engineering Manager, Learn
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Engineering Manager, Learn
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Machine Learning Engineer
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Engineering Manager, Learn
Only for registered members San Francisco
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Machine Learning Engineer
Only for registered members San Francisco
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Machine Learning Engineer
Full time Only for registered members San Francisco
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Machine Learning Engineer
Cliff Services Inc- San Francisco Bay Area
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Machine Learning Engineer
Only for registered members San Francisco
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Machine Learning Engineer
Only for registered members San Francisco
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Machine Learning Engineer
Only for registered members San Francisco, CA
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Machine Learning Engineer
Only for registered members San Francisco
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Machine Learning Engineer
Full time Only for registered members San Francisco
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Machine Learning Engineer
Only for registered members San Francisco