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    Machine Learning Engineer

    Truveta
    Greater Seattle area FULL_TIME The base pay for this position is $155,000 to $175,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options. 2026-07-06

    About Truveta

    Truveta is the world's first health provider-led data platform with a vision of "Saving Lives with Data." Their 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. They are building a diverse and inclusive team passionate about tackling complex health and technical challenges.

    About the Position

    Introduction

    Truveta is building a diverse and inclusive team to tackle complex health and technical challenges. They are seeking enthusiastic individuals eager to make a difference in healthcare by applying large-scale technological innovations and digital intelligence to improve patient care and medical research. This role is based out of their headquarters in the Greater Seattle area.

    Responsibilities

    • Build and evaluate deep neural networks (DNNs) from scratch, including optimizing model size and architecture, for various data and prediction targets.
    • Evaluate ML models with a strong understanding of statistics and measurement/decision science, including precision, NPV, recall/sensitivity, specificity, and their tradeoffs.
    • Fine-tune LLMs and multi-modal models using supervised and reinforcement learning, covering both third-party API/SDK-based fine-tuning and custom training on cloud-based compute clusters.
    • Optimize GPU usage for model training and inference.
    • Design reward functions or graders for Reinforcement Fine-Tuning, especially with LLMs.
    • Build AI agents using frameworks like LangGraph or AutoGen to create end-to-end agentic AI applications.
    • Design and implement self-improving AI agents.
    • Build and maintain reliable, secure, and scalable software solutions using modern cloud-based paradigms including CI/CD, DRI, and on-call practices.

    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).
    • Familiarity with crafting modular APIs and building engaging and intuitive web experiences, especially agentic AI protocols such as MCP and A2A.
    • B.S. or M.S. in Computer Science or a related field.
    • Authorized to work in the United States for any employer (Truveta is unable to sponsor work visas).

    Apply Now

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    Location

    Greater Seattle area

    Type

    FULL_TIME

    Keywords

    AI
    Machine Learning
    ML Engineering
    Deep Learning
    LLMs
    AI Agents
    NLP
    Cloud Computing
    AWS
    GCP
    Azure
    CI/CD
    Healthcare AI
    Reinforcement Learning
    Verified Company

    Machine Learning Engineer

    Truveta