Staff Machine Learning Engineer

We are hiring a Machine Learning Engineer to fine-tune and improve LLMs for healthcare-specific agentic conversations and actions, with an initial focus on revenue cycle management (RCM).

Requirements

• Hands-on experience fine-tuning open-source LLMs using supervised fine-tuning (SFT) pipelines.
• Strong Python and PyTorch skills.
• Experience with LLM tooling such as Hugging Face Transformers, PEFT, TRL, Axolotl, DeepSpeed, FSDP, vLLM, or similar frameworks.
• Experience preparing, cleaning, labeling, and validating instruction-tuning datasets.
• Familiarity with agentic LLM systems, including tool calling, structured generation, retrieval, or workflow execution.
• Experience evaluating LLMs using offline benchmarks, human review, regression testing, or production feedback.
• Strong debugging skills and the ability to systematically improve model behavior.

Benefits

• Competitive compensation
• Equity
• Benefits