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Machine Learning Engineer - LLMs & Generative AI

Truveta

$155,000 - $175,000
Aug 14, 2025
Seattle, WA, US
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Truveta is looking to build the next generation of AI systems for trustworthy healthcare by developing large language models and generative AI techniques.

Requirements

  • Experience designing and training LLMs or large-scale generative models (e.g., GPT, PaLM, LLaMA, Claude, Gemma).
  • Deep expertise in NLP, sequence modeling, and transformer architectures.
  • Proficient in Python and ML libraries such as PyTorch or TensorFlow; strong engineering skills in building scalable ML pipelines.
  • Experience with RL-based fine-tuning (e.g., Reinforcement Learning from Human Feedback) and evaluation of generative systems.
  • Familiarity with multi-modal foundation models (e.g., text-image, text-structured data) and cross-modal alignment techniques.
  • Hands-on experience with vector databases, semantic search, and retrieval-based generation
  • Experience building trustworthy AI systems and applying model interpretability, fairness, and safety frameworks.

Responsibilities

  • 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).
  • 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.

Other

  • Proven ability to lead technical projects and collaborate across teams.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 6+ years of experience in software engineering or machine learning (3+ years with a PhD).
  • Great benefits package
  • 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