Machine Learning Engineer

4 weeks ago


London Area, United Kingdom Hlx Life Sciences Full time

About the Role

Join our leading-edge machine learning team as a Research Engineer, and play a pivotal role in pioneering machine learning solutions for genetic data interpretation. Our team is a technically proficient Research Engineering team who can handle high computational complexity. This role requires significant expertise in model optimization, computational efficiency, and engineering fundamentals to support a DNA-based model infrastructure.


Responsibilities:

  • Improve data loading and storage efficiency for high-volume datasets
  • Manage large-scale genetic models
  • Optimize multi-GPU performance
  • Identify and resolve bottlenecks affecting model training and inference speeds
  • Develop standards for software engineering practices within the team
  • Collaborate on genetic target prediction by integrating human genetics and disease data


Requirements

  • ⁠Experience running large models on extensive compute resources
  • Proficiency in optimizing multi-GPU training and handling bottlenecks in high-complexity systems
  • ⁠Deep understanding of computational complexity and efficiency in data engineering, particularly with terabyte-scale datasets
  • ⁠Familiarity with tools like OpenVINO and ONNX for inference optimization
  • Strong grasp of foundational engineering principles and software engineering best practices for maintaining scalable, efficient code


Key Technical Experiences:

  • ⁠Multi-GPU optimization and troubleshooting
  • Practical experience with fine-tuning and pre-training large language models or similar
  • Ability to manage large data pipelines (terabyte scale) and enhance model responsiveness
  • ⁠Skilled in handling data models directly, not NLP-focused LLMs



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