Senior Machine Learning Engineer
Listed on 2026-06-03
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Software Development
AI Engineer, Machine Learning/ ML Engineer
Our client is revolutionizing healthcare by streamlining knowledge workflows with AI. They reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters - improving lives. They’re growing fast and looking for bold, driven teammates to join them.
About the RoleOur client is seeking a hands‑on ML/LLM Engineer who’s excited to ship real‑world applications - not just benchmarks. You’ll help 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 ready to go deep on applied ML problems - from retrieval to routing to generation - and ship solutions that deliver measurable impact.
Responsibilities- Own and optimize pipelines that combine classical machine learning 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 architecture.
- 3–6 years of experience in applied machine learning, with at least 1–2 years working with large language models.
- Strong Python skills and familiarity with ML/LLM frameworks such as PyTorch, Transformers, Lang Chain, Llama Index, etc.
- Experience with embeddings, vector search, retrieval pipelines, and prompt tuning for large language models.
- Bias for experimentation, clarity, and rapid deployment of solutions into production.
- Understanding of responsible AI practices, model evaluation, and observability.
- Experience with healthcare data or other compliance‑sensitive, regulated environments.
- Opportunity to make a real impact on the future of healthcare.
- Autonomy, ownership, and growth potential.
- Competitive compensation package and benefits.
- 100% employer‑paid health, vision, and dental insurance.
- Retirement plans (401(k)), disability insurance, and employee assistance programs.
This position is open only to individuals who are legally authorized to work in the United States on a permanent basis. At this time, the company is unable to sponsor or take over sponsorship of employment visas (including H-1B, OPT, CPT, or other non‑immigrant statuses).
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