Senior Research Engineer

Requirements:

• 4-7 years of hands-on experience in ML/NLP/LLM engineering, preferably with applied production or near-production systems.
• Strong Python and PyTorch experience; ability to write clean, reusable, testable code beyond notebooks.
• Strong understanding of LLMs, transformers, embeddings, RAG, fine-tuning, prompt engineering, evaluation, and structured output generation.
• Ability to reason about model errors, data quality, annotation ambiguity, hidden test sets, and clinical edge cases.
• Experience building reusable ML pipelines and experimental frameworks.
• Strong engineering habits: versioning, tests, documentation, reproducibility, and peer review.
• Ability to mentor junior engineers and communicate technical trade-offs clearly.