Truveta is seeking a Machine Learning Engineer with a deep background in generative AI, large language models (LLMs), and reinforcement learning techniques to build the next generation of AI systems for trustworthy healthcare.
Requirements
- Lead the development, training, and deployment of large language and multimodal foundation models tailored to clinical and biomedical domains.
- Apply and refine state-of-the-art techniques such as supervised fine-tuning (SFT), reinforcement learning-based methods (e.g., RLHF, RLVR), parameter-efficient fine-tuning (PEFT), prompt tuning, and retrieval-augmented generation (RAG).
- Collaborate cross-functionally with researchers, clinicians, and engineers to design ML-driven solutions that improve healthcare delivery and outcomes.
- Build scalable infrastructure for distributed training of large models (TPU/GPU clusters, multi-node orchestration).
- Design and evaluate models for robustness, bias mitigation, factual consistency, and explainability in healthcare contexts.
- Stay current with the latest research in generative AI and contribute back to the community through publications and open-source initiatives.
Benefits
- Comprehensive benefits with strong medical, dental and vision insurance plans
- 401K plan
- Professional development & training opportunities for continuous learning
- Work/life autonomy via flexible work hours and flexible paid time off
- Generous parental leave