About the job
Core
Develop and maintain a specialized large language model for the biomedical domain to support drug discovery and life sciences research.
Role type
Senior hands-on LLM Engineer (Biomedical)
Builds
Specialized LLMs for understanding biomedical literature and biological data
Domain
Biotechnology / Life Sciences / Artificial Intelligence
Deliverable
production ML models
Required skills
Large language model training and fine-tuning, Python, PyTorch, distributed and multi-GPU training, training stability and performance optimization, debugging using logs and metrics, experiment management, data preparation for training
Preferred skills
Biotech/pharma/life sciences domain experience, biomedical data and scientific literature familiarity, GPU cluster management (Slurm), LLM serving and inference optimization, quantization, evaluation frameworks
Technologies
PyTorch, Slurm, Multi-GPU environments
Responsibilities
Drive and monitor large-scale LLM training in a multi-GPU environment, take ownership of the training codebase and pipeline, diagnose and resolve training failures and bottlenecks, improve training throughput and memory efficiency, support model evaluation with domain-specific benchmarks, maintain experiments and documentation for reproducibility, collaborate with scientific teams on data and workflows
Seniority
Senior, hands-on IC
