SuperDial
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
Originally posted on Himalayas
To apply for this job please visit himalayas.app.
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