---
title: 'ML PhD Intern - LLMs & Generative AI at Truveta'
canonical: 'https://feeny.ai/job/ml-phd-intern-llms-generative-ai-truveta-seattle-dna97syzdfhq'
type: 'job'
last_seen: '2026-09-10'
---

# ML PhD Intern - LLMs & Generative AI at Truveta

- **Company:** Truveta
- **Location:** Seattle, WA
- **Posted:** 2025-11-19
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/truveta/jobs/5712997004

## Job description

ML PhD Intern - LLMs & Generative AI

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/).

Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture.  Participation in the internship program requires that you are physically present in the United States for the duration of the internship. #LI-remote

Who We Need

We are seeking a highly motivated and talented Machine Learning PhD Intern to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.

Internship Details

Our Research PhD Internship is designed for candidates who have finished their classes and are working only on research work to complete their PhD. Candidates must be within 1 year of their graduation date from their PhD program. Candidates are expected to demonstrate both independence in defining their research strategy within a domain as well as an ability to apply innovative solutions to our products. Our internships are designed to be a minimum of 10 weeks with the opportunity to extend beyond the initially agreed term based on the company’s needs and the candidate’s desires.

This Opportunity

We are looking for machine learning experts who can utilize applied science and software development skills in building our Foundation Models that help us address some of the hardest problems towards our vision of Saving Lives with Data. You will work in an exciting and fast-paced environment, collaborating closely with multiple teams across the company. You will work as part of an organization that brings together talent from diverse backgrounds including software engineering, big data, machine learning and AI, clinical informatics, and medicine making our team an exciting place to work. We value and encourage diversity in the belief that our differences make us and our products better.

In this role, you will:

- Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
- Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
- Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
- Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
- Deliver the next generation of innovation in trustworthy healthcare.

## Key Qualifications

- Currently pursuing a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI
- Strong theoretical and practical background in NLP including experience with state-of-the-art architectures
- Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI
- Solid programming skills in Python and the ability to write clean, efficient, and well-documented code
- Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems
- Strong communication skills and the ability to work effectively in a collaborative research environment

## Preferred Qualifications

- Experience with distributed parallel training, large-scale multi-modal foundation and generative models
- Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt engineering techniques
- Familiarity with training multi-modal foundation models
- Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments
- A track record of publications and contributions to the machine learning and natural language processing communities

This internship opportunity offers a unique chance to work on state-of-the-art language models and contribute to transformative research with the vision of Saving Lives with Data. You will be part of a dynamic team of researchers and engineers who are passionate about pushing the boundaries of machine learning and natural language understanding in the healthcare domain. Join us and make a significant impact on the future of healthcare and patient well-being.

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:

- Competitive compensation
- Company-issued laptop and equipment
- Opportunities for future full-time positions
- The hourly pay for this position is $45

Truveta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

## 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)

## Other roles at Truveta

- [Partner Data Analyst - Life Science Partnerships](https://feeny.ai/job/partner-data-analyst-life-science-partnerships-truveta-seattle-9g6ygvyxh492) — Seattle, WA
- [Director Of Engineering - Platform Services](https://feeny.ai/job/director-of-engineering-platform-services-truveta-hyderabad-dftgs279twm0) — Hyderabad, India
- [HR Generalist](https://feeny.ai/job/hr-generalist-truveta-hyderabad-dq9ntns3w0vr) — Hyderabad, India
- [Director of Life Science Business Development, Financial Services](https://feeny.ai/job/director-of-life-science-business-development-financial-services-truveta-seattle-atyfjr9qz080) — Seattle, WA
- [IT Administrator](https://feeny.ai/job/it-administrator-truveta-hyderabad-3w51q9afa1mt) — Hyderabad, India
- [Clinical Terminologist (Contract)](https://feeny.ai/job/clinical-terminologist-contract-truveta-seattle-swat32j5gtnf) — Seattle, WA
- [Real World Data Analyst (Contractor)](https://feeny.ai/job/real-world-data-analyst-contractor-truveta-seattle-wndqwv03tvwp) — Seattle, WA
- [Senior Machine Learning (ML) Engineer](https://feeny.ai/job/senior-machine-learning-ml-engineer-truveta-seattle-5gj219esebhw) — Seattle, WA
- [Senior Software Engineer (Full Stack) – Clinical Intelligence](https://feeny.ai/job/senior-software-engineer-full-stack-clinical-intelligence-truveta-hyderabad-4tshnqn0qk1q) — Hyderabad, India
- [Success Manager - Partner Insights & Enablement](https://feeny.ai/job/success-manager-partner-insights-enablement-truveta-seattle-ejqsmgm1frnt) — Seattle, WA