Savant Bio
Savant is transforming how healthcare and life sciences organizations unlock the value trapped in unstructured medical data. Our platform combines cutting-edge large language models (LLMs) with domain-specific quality controls to convert free-text clinical records into structured, analysis-ready data — efficiently, accurately, and at scale.
We’re hiring an AI/ML Engineer to help build and scale the infrastructure behind Savant’s clinical data structuring platform. In this role, you’ll work at the intersection of LLMs, applied machine learning, and healthcare data to develop production-grade pipelines that extract structured insights from messy, high-stakes records.
Some key responsibilities include:
Design and build robust ML pipelines to apply LLMs and other models to unstructured clinical text
Develop and optimize systems for information extraction, entity resolution, data normalization, and QA
Build and scale infrastructure for running model inference across large datasets
Prototype, evaluate, and refine prompt strategies, model configurations, and workflows
Implement internal tools for monitoring, observability, and iterative model improvement
Translate research prototypes into reliable, testable, and maintainable production code
Collaborate cross-functionally with clinical experts and product leads to embed domain knowledge into model workflows
We’re looking for candidates with:
3+ years of hands-on experience building and deploying ML/AI systems
Strong Python development skills, including experience with production-quality ML codebases
Familiarity with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, spaCy)
Experience working with large-scale unstructured or semi-structured data
Practical knowledge of LLMs: prompt engineering, evaluation, fine-tuning, observability
Comfort working in fast-paced, ambiguous environments where iteration is key
Clear communicator with a collaborative mindset
Savant provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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