Genetic Data Interpretation Research Specialist
3 weeks ago
About Hlx Life Sciences
We are seeking a highly skilled Research Engineer to join our machine learning team. As a Research Engineer, you will play a key role in developing innovative machine learning solutions for genetic data interpretation.
Key Responsibilities:
- Improve data loading and storage efficiency for high-volume datasets
- 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
Core Skills:
- 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
Core Technical Experiences:
- Multi-GPU optimization and troubleshooting
- Practical experience with fine-tuning and pretraining large language models or similar
- Ability to manage large data pipelines (terabyte scale) and enhance model responsiveness
- Skilled in handling DNA/genetic data models directly, not NLP-focused LLMs
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