Senior ML Engineer at Truveta

Seattle, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, TechnologyIndustries

Requirements

Design and reason with agentic AI frameworks — experienced in building multi-agent workflows using frameworks such as LangGraph, AutoGen, or CrewAI, integrating reasoning, planning, and memory to create intelligent, goal-driven systems
Bring a deep understanding of LLM fundamentals — knowledgeable in transformer architectures, attention mechanisms, and tokenization principles; understand how embeddings, context windows, and model scaling laws influence quality, cost, and performance
Work fluently with embeddings and vector stores — experienced in building or integrating retrieval-augmented generation (RAG) pipelines, managing vector databases (e.g., FAISS, Pinecone, Chroma, Azure AI Search, or similar), and leveraging semantic search or context injection to enhance reasoning
Excel at model fine-tuning — hands-on expertise fine-tuning large language models (LLMs) or multimodal models using supervised, reinforcement, or instruction-tuning techniques (e.g., LoRA, PEFT, TRL); skilled at optimizing model efficiency, interpretability, and inference performance
Think and build like engineers — grounded in strong software design principles, modular architecture, and code quality; able to translate experimental ideas into robust, maintainable systems that integrate seamlessly within large-scale AI platforms
Collaborate across boundaries — partnering with platform, application, and other teams

Responsibilities

Engineer the next wave of healthcare AI — developing adaptive agentic systems and fine-tuned foundation models that continuously learn, reason, and accelerate real-world impact
Blend ML craftsmanship with platform engineering excellence to create scalable, self-improving AI agents and models that learn from vast, diverse healthcare data and deliver meaningful insights through automation and reasoning
Use expertise in applied AI, model optimization, and agentic intelligence to create systems that think, adapt, and improve R&D, business strategy, operations, and care delivery across the healthcare ecosystem
Transform how health data becomes intelligence, powering breakthroughs that enable clinicians and researchers to make data-driven, proactive, and impactful decisions
Shape the AI capabilities that make healthcare more intelligent, efficient, and equitable — driving real-world impact across research, care delivery, and patient outcomes

Skills

Machine Learning

Applied AI

Foundation Models

AI Agents

Large-Scale Engineering

Healthcare Data

Model Optimization

Platform Engineering

Truveta

Healthcare data platform for research analytics

About Truveta

Truveta provides a platform that allows researchers to access and analyze patient data to enhance patient care and study the safety and effectiveness of treatments. The platform, known as Truveta Studio, offers immediate and compliant access to patient-level data, which is sourced from over 30 health systems and includes information from more than 100 million patients across the United States. This data is updated daily and comes from over 800 hospitals and 20,000 clinics. Truveta Studio is designed to simplify the data access process, making it cost-effective for researchers by charging them only for the data and analytics they use. Unlike many competitors, Truveta focuses on providing transparent pricing and efficient access to comprehensive healthcare data. The company's goal is to empower researchers in the healthcare and life sciences sectors to gain valuable insights that can lead to improved patient outcomes.

Seattle, WashingtonHeadquarters

2020Year Founded

$189.7MTotal Funding

LATE_VCCompany Stage

Data & Analytics, Biotechnology, HealthcareIndustries

201-500Employees

Benefits

Competitive Compensation

Comprehensive Benefits

401(k)

Professional Development

Work/Life Autonomy

Flexible Time Off

Generous Parental Leave

Team Activities

Risks

Data privacy concerns may arise from expanding datasets with sensitive information.

Rapid community expansion could strain resources and affect data quality.

Non-peer-reviewed studies may expose Truveta to criticism on scientific rigor.

Differentiation

Truveta offers the most comprehensive EHR data from over 100 million patients.

Truveta Studio provides cost-effective, compliant access to patient-level data and analytics.

Truveta's AI extracts complex clinical concepts from unstructured data, enhancing research capabilities.

Upsides

Truveta's partnership with Panalgo accelerates insights through integrated regulatory-grade EHR data.

The mother-child EHR dataset positions Truveta as a leader in maternal health research.

Truveta's real-world EHR data enables valuable drug comparisons ahead of clinical trials.

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