The OpportunityWe're looking for a
hands-on ML/LLM Engineer who's excited to ship real-world applications - not just benchmarks. You'll help us build and optimize AI-native systems that blend structured and unstructured data to power decisions in high-stakes domains. This is a
mid to senior-level role for someone who's ready to go deep on applied ML problems - from retrieval to routing to generation - and ship solutions that deliver impact.
What you'll do- Own and optimize pipelines that combine classical ML and LLM-based systems (RAG, scoring, summarization, etc.)
- Fine-tune and evaluate LLMs using both open-source and proprietary data
- Collaborate with product and engineering teams to build real-world applications in healthcare and biopharma
- Implement retrieval strategies, prompt chaining, and inference orchestration for production use cases
- Monitor and improve model quality, latency, explainability, and safety
- Stay ahead of the curve in LLM evaluation, tuning, and agent-based architectures
Qualifications- 3-6 years of experience in applied ML, with at least 1-2 years working with LLMs
- Strong Python skills and familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain, LlamaIndex, etc.)
- Comfort with embeddings, vector search, retrieval pipelines, and prompt tuning
- Bias for experimentation, clarity, and pushing things into production - fast
- Understanding of responsible AI practices, model evaluation, and observability
- Experience in healthcare, compliance-sensitive data, or regulated environments
What we offer- A chance to make a real impact in the future of healthcare
- Autonomy, ownership, and the ability to chart your own growth path
- Competitive compensation and benefits
- 100% employer-paid health, vision, and dental insurance
- Retirement plans (401k), disability insurance, employee assistance programs
How to ApplyPlease submit your resume and a brief cover letter to [redacted] explaining why you are the ideal candidate for this role. We are excited to meet someone who is eager to bring their skills, enthusiasm, and creativity to our team!
