Truveta aggregates daily de-identified EHRs from a coalition of health systems into a regulatory-grade dataset (120M+ patients), provides researcher tools (LLM, Jupyter) and links multi-omics via Azure, under provider governance.
<p style="text-align: center;"><span style="font-size: 10pt;"><strong>Machine Learning Engineer - LLMs & Generative AI</strong></span></p> <p><span style="font-size: 10pt;">Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our <a href="https://www.truveta.com/careers/">company values</a>.</span></p> <p><span style="font-size: 10pt;"><strong>This position is based out of our headquarters in the Greater Seattle area. <span style="color: rgb(255, 255, 255);">#LI-hybrid</span></strong></span></p> <p><span style="font-size: 10pt;"><strong>Who We Need</strong> </span></p> <p><span style="font-size: 10pt;">Truveta is building a diverse and inclusive team to tackle complex health and technical challenges. We are seeking enthusiastic new graduates who are problem-solvers, collaborative teammates, and eager to make a difference in healthcare. If you’re excited about purposeful work, joining a mission-driven team, and launching your career in a supportive environment, Truveta could be the perfect place to start.</span></p> <p><span style="font-size: 10pt;"><strong>This Opportunity</strong> </span></p> <p><span style="font-size: 10pt;">We are looking for 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. This role offers a unique opportunity to build foundational models trained on vast clinical data and drive innovation in a highly meaningful domain.</span></p> <p><span style="font-size: 10pt;"><strong>Responsibilities</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Lead the development, training, and deployment of large language and multimodal foundation models tailored to clinical and biomedical domains.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">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).</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Collaborate cross-functionally with researchers, clinicians, and engineers to design ML-driven solutions that improve healthcare delivery and outcomes.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Build scalable infrastructure for distributed training of large models (TPU/GPU clusters, multi-node orchestration).</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Design and evaluate models for robustness, bias mitigation, factual consistency, and explainability in healthcare contexts.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Stay current with the latest research in generative AI and contribute back to the community through publications and open-source initiatives.</span></li> </ul> <p><span style="font-size: 10pt;"><strong>Minimum Qualifications</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">6+ years of experience in software engineering or machine learning (3+ years with a PhD).</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience designing and training LLMs or large-scale generative models (e.g., GPT, PaLM, LLaMA, Claude, Gemma).</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Deep expertise in NLP, sequence modeling, and transformer architectures.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Proficient in Python and ML libraries such as PyTorch or TensorFlow; strong engineering skills in building scalable ML pipelines.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience with RL-based fine-tuning (e.g., Reinforcement Learning from Human Feedback) and evaluation of generative systems.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Proven ability to lead technical projects and collaborate across teams.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Bachelor's degree in Computer Science, Engineering, or a related technical field</span></li> </ul> <p><span style="font-size: 10pt;"><strong>Preferred Qualifications</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">PhD or equivalent experience in Machine Learning, NLP, AI, or a related field.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience in healthcare, biomedical informatics, or clinical data modeling.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Familiarity with multi-modal foundation models (e.g., text-image, text-structured data) and cross-modal alignment techniques.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Hands-on experience with vector databases, semantic search, and retrieval-based generation</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Publications in top-tier ML conferences (NeurIPS, ICML, ACL, EMNLP, ICLR, etc.).</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience building trustworthy AI systems and applying model interpretability, fairness, and safety frameworks.</span></li> </ul> <p><span style="font-size: 10pt;"><strong>Why Truveta?</strong></span></p> <p><span style="font-size: 10pt;">Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership