Machine Learning Engineer

About the position

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 company values. This position is based out of our headquarters in the Greater Seattle area. #LI-hybrid

Responsibilities

• Build and evaluate a DNN from scratch, optimizing model size and architecture for given data and prediction targets.
• Evaluate ML models grounded in statistics and measurement/decision science, understanding precision, NPV, Recall/Sensitivity, Specificity, and their tradeoffs.
• Fine-tune LLMs and multi-modal models using supervised and reinforcement learning.
• Design reward functions or graders for Reinforcement Fine-Tuning, especially with LLMs.
• Build AI agents using agentic frameworks like LangGraph or AutoGen, creating end-to-end agentic AI applications.
• Maintain reliable, secure, and scalable software solutions using modern cloud-based paradigms including CI/CD, DRI, and on-call practices.
• Proactively seek help, iterate, and evolve in a changing product landscape.

Requirements

• 2+ years of experience building production ML engineering systems in a team setting.
• 1+ years of experience working on modern cloud-native platforms and languages (AWS, GCP, Azure).
• Strong understanding and experience of fundamentals of machine learning through coursework and/or prior job experience.
• Experience designing and implementing self-improving AI agents.
• Familiarity with crafting modular APIs and building engaging and intuitive web experiences.

Nice-to-haves

• Proven track record of publishing in leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL).
• Experience optimizing GPU usage for model training and inference.
• Familiarity with the latest agentic tools, frameworks, and standards (e.g., MCP, A2A).

Benefits

• Interesting and meaningful work for every career stage.
• 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.
• Regular team activities (virtual and in-person as soon as we are able).