---
title: 'Senior Machine Learning (ML) Engineer at Truveta'
canonical: 'https://feeny.ai/job/senior-machine-learning-ml-engineer-truveta-seattle-5gj219esebhw'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Machine Learning (ML) Engineer at Truveta

- **Company:** Truveta
- **Location:** Seattle, WA
- **Posted:** 2026-08-31
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/truveta/jobs/6176472004

## Job description

Senior Machine Learning Engineer

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](https://www.truveta.com/careers/).

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

Who We Need

Join Truveta’s Intelligence Platform and Applications team to 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. Guided by Truveta’s mission of Saving Lives with Data, you’ll help transform how health data becomes intelligence, powering breakthroughs that enable clinicians and researchers to make data-driven, proactive, and impactful decisions.

We are seeking Senior Machine Learning Engineers who thrive at the intersection of machine learning, applied AI, and large-scale engineering. You’ll 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. You’ll help shape the AI capabilities that make healthcare more intelligent, efficient, and equitable — driving real-world impact across research, care delivery, and patient outcomes.

This Opportunity

Patients, doctors, and medical researchers deserve to benefit from the same large-scale technological innovations and artifical intelligence that have transformed productivity, creativity, and communication. As part of the Intelligence & Application Platform team, you’ll use your 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.

If you’re seeking a sense of purpose and are motivated to advance how AI supports learning, decision-making, and discovery in healthcare, you’ll find this an inspiring place to grow. You’ll work in an ambitious, fast-paced and collaborative environment where every contribution helps make healthcare more connected, intelligent, and impactful.

We Are Seeking Senior ML Engineers Who:

- 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. You 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 — with 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. You can translate experimental ideas into robust, maintainable systems that integrate seamlessly within large-scale AI platforms.
- Collaborate across boundaries — partnering with platform, application, and product engineers to transform concepts into scalable, reliable AI solutions. You communicate clearly, share knowledge openly, and thrive in cross-functional teams.
- Demonstrate senior-level ownership — capable of setting technical direction, mentoring peers, and making pragmatic design trade-offs that balance innovation, performance, and reliability.
- Understand evaluation deeply — fluent in ML validation and measurement (Precision, Recall, Specificity, NPV, etc.), and experienced designing reward functions, evaluators, or grader models for reinforcement fine-tuning and continuous improvement.
- Adapt and learn continuously — staying ahead of evolving AI architectures, agentic frameworks, and emerging paradigms in reasoning and retrieval. You have curiosity, humility, and a bias for iteration.
- Act with purpose — applying thoughtful engineering and ethical AI principles to create systems that advance healthcare intelligence responsibly and at scale.

## Key Qualifications

- 5+ years of experience building and deploying scalable, production-ready ML systems in a collaborative engineering environment.
- Proficiency with agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI) and understanding of interoperability protocols such as MCP and A2A.
- Hands-on experience fine-tuning and optimizing large language models (LLMs) or multimodal models, using techniques such as LoRA, PEFT, and TRL.
- Experience working with vector databases and embeddings, integrating FAISS, Pinecone, Chroma, or Azure AI Search into retrieval-augmented generation (RAG) or semantic-search pipelines.
- Strong software engineering fundamentals, with proficiency in Python and experience designing scalable systems in modern cloud environments (Azure, AWS, or GCP).
- B.S. or M.S. in Computer Science, Artificial Intelligence, or a related technical field.

Why Truveta?

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional, and everything in between. Join us as we build an amazing company together.

We Offer:

- 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)
- The base pay for this position is $175,000 to $200,000. 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.

If you are based in California, we encourage you to read this important information for California residents [linked here.](https://truvetaexternal.sharepoint.com/:b:/s/HR/EdHvOayMeqVCr4r3AHzGRZ8BP_gNgn8GJlP3kpmzCS0W8g?e=3bimck)

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.

Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

## About Truveta

## Company Overview
- **One-liner**: Truveta provides the most complete, real-time, and regulatory-grade electronic health record (EHR) data and analytics platform for scientifically rigorous healthcare research.
- **Entity Type**: Private (Series C)
- **Headquarters**: Seattle, Washington, United States
- **Founded**: 2020
- **Founders**: Terry Myerson (CEO), Jay Nanduri (CTO), and Dr. Ryan Ahern (CMO), in collaboration with founding health systems Providence, Advocate Health, Tenet Healthcare, and Trinity Health.

## Core Business
- **Primary industry**: Healthcare Data, Analytics, and Life Sciences Research.
- **Target customers**: Life science organizations (pharma, biotech, medical device), healthcare providers, public health agencies, and academic researchers (B2B, Enterprise).
- **Mission statement**: "Saving Lives with Data."

## Products & Services
- **Truveta Data**: A platform offering longitudinal, de-identified patient data from over 130 million patients, updated daily. Data includes EHR, closed claims, devices, images, SDOH, mother-child links, multiomics, and mortality data. [truveta.com](https://www.truveta.com/)
- **Truveta Evidence**: A suite of services for designing and executing rigorous, audit-ready real-world evidence (RWE) studies to support regulatory submissions, outcomes research, and safety surveillance. [truveta.com](https://www.truveta.com/)
- **Truveta Intelligence**: An analytics platform that enables users to query the data in minutes for discovery, clinical trial simulation, healthcare optimization, and therapy adoption tracking. [truveta.com](https://www.truveta.com/)
- **Truveta Genome Project**: An initiative to create the world's largest and most diverse genomics database by combining genomic data with clinical data from member health systems. [truveta.com](https://www.truveta.com/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total Funding is **$515 million**. Annual Revenue is estimated at **$8 million**.
- **Notable Investors/Partners**: Investors include **Microsoft** (lead in Corporate Round) and 8 other investors in the Series C. Key partners are a network of **30 member health systems** including Providence, Advocate Health, Tenet Healthcare, and Trinity Health. [truveta.com](https://www.truveta.com/leadership/)
- **Growth Signals**: Headcount has grown **23.6% year-over-year** to 344 employees. The company has supported over **350 publications**, **150,000+ citations**, and **100+ regulatory projects**. Job postings have increased **215.4% year-over-year**. [linkedin.com](https://www.linkedin.com/company/truveta)

## Competitive Advantages
- **Data Scale and Completeness**: The Truveta Data platform covers over 130 million patients from 30 health systems, providing a uniquely diverse and comprehensive view of US healthcare.
- **Regulatory-Grade Quality**: The data and analytics platform is designed to meet the rigorous standards of regulators like the FDA for evidence generation.
- **Founding Consortium**: Being built by and for health systems gives Truveta a unique trust advantage and direct access to high-quality clinical data.
- **Real-Time Updates**: Data is updated daily, allowing for near-real-time insights compared to traditional claims databases.

## Strategic Focus
- **Deepening the Data Moat**: Expanding the Truveta Genome Project and adding new data types like multiomics and social determinants of health (SDOH).
- **Accelerating Life Science Partnerships**: Growing revenue by helping pharmaceutical and medical device companies de-risk clinical trials and generate post-market evidence.
- **AI and Machine Learning**: Investing heavily in machine learning and LLMs to power its platform, as evidenced by active job postings for Machine Learning Engineers and Applied Research Scientists. [greenhouse.io](https://job-boards.greenhouse.io/truveta)
- **Public Health Impact**: Continuing to support public health agencies and academic researchers with timely data for population health studies.

## Why Work Here
- **Mission-Driven Work**: The company is focused on the ambitious and meaningful mission of "Saving Lives with Data," which is a powerful motivator for employees.
- **Work/Life Autonomy**: The company promotes a culture of "work from anywhere" with flexible time off and "freedom with responsibility." [truveta.com](https://www.truveta.com/careers/)
- **Strong Benefits**: Offers competitive compensation, comprehensive benefits, 401(k), generous parental leave, and a diverse training library. [truveta.com](https://www.truveta.com/careers/)
- **High-Growth Environment**: With rapid headcount growth and significant venture funding, there are opportunities for career advancement and impact.
- **Talent Density**: The company attracts talent from top tech and healthcare companies, including Microsoft, Amazon, Google, and Meta, indicating a high-caliber peer group. [linkedin.com](https://www.linkedin.com/company/truveta)

## Sources
1. [truveta.com](https://www.truveta.com/)
2. [truveta.com/careers](https://www.truveta.com/careers/)
3. [linkedin.com/company/truveta](https://www.linkedin.com/company/truveta)
4. [truveta.com/leadership](https://www.truveta.com/leadership/)
5. [cbinsights.com/company/truveta](https://www.cbinsights.com/company/truveta)
6. [job-boards.greenhouse.io/truveta](https://job-boards.greenhouse.io/truveta)

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