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Machine Learning Engineer - LLMs & Generative AI

Truveta · Seattle, WA · Hybrid · Active · $155,000–$175,000 / year · Greenhouse

Job facts

FieldValue
CompanyTruveta
TitleMachine Learning Engineer - LLMs & Generative AI
Normalized title-
Department / teamEngineering
LocationSeattle, WA, United States
Work modelHybrid / Hybrid
Employment type-
Salary$155,000–$175,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2025-06-02 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Truveta.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Seattle.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyTruveta
Source67c8cb0f-85e0-4b95-9dba-1694f1695757
ATS providerGreenhouse

Description

Machine Learning Engineer - 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 . This position is based out of our headquarters in the Greater Seattle area. #LI-hybrid Who We Need Truveta is building a diverse and inclusive team to tackle complex health and technical challenges. We are seeking enthusiastic new graduates who are problem-solvers, collaborative teammates, and eager to make a difference in healthcare. If you’re excited about purposeful work, joining a mission-driven team, and launching your career in a supportive environment, Truveta could be the perfect place to start. This Opportunity We are looking for a Machine Learning Engineer with a deep background in generative AI, large language models (LLMs), and reinforcement learning techniques to build the next generation of AI systems for trustworthy healthcare. This role offers a unique opportunity to build foundational models trained on vast clinical data and drive innovation in a highly meaningful domain. Responsibilities Lead the development, training, and deployment of large language and multimodal foundation models tailored to clinical and biomedical domains. apply and refine state-of-the-art techniques such as supervised fine-tuning (SFT), reinforcement learning-based methods (e.g., RLHF, RLVR), parameter-efficient fine-tuning (PEFT), prompt tuning, and retrieval-augmented generation (RAG). Collaborate cross-functionally with researchers, clinicians, and engineers to design ML-driven solutions that improve healthcare delivery and outcomes. Build scalable infrastructure for distributed training of large models (TPU/GPU clusters, multi-node orchestration). Design and evaluate models for robustness, bias mitigation, factual consistency, and explainability in healthcare contexts. Stay current with the latest research in generative AI and contribute back to the community through publications and open-source initiatives. Minimum Qualifications 6+ years of experience in software engineering or machine learning (3+ years with a PhD). Experience designing and training LLMs or large-scale generative models (e.g., GPT, PaLM, LLaMA, Claude, Gemma). Deep expertise in NLP, sequence modeling, and transformer architectures. Proficient in Python and ML libraries such as PyTorch or TensorFlow; strong engineering skills in building scalable ML pipelines. Experience with RL-based fine-tuning (e.g., Reinforcement Learning from Human Feedback) and evaluation of generative systems. Proven ability to lead technical projects and collaborate across teams. Bachelor's degree in Computer Science, Engineering, or a related technical field Preferred Qualifications PhD or equivalent experience in Machine Learning, NLP, AI, or a related field. Experience in healthcare, biomedical informatics, or clinical data modeling. Familiarity with multi-modal foundation models (e.g., text-image, text-structured data) and cross-modal alignment techniques. Hands-on experience with vector databases, semantic search, and retrieval-based generation Publications in top-tier ML conferences (NeurIPS, ICML, ACL, EMNLP, ICLR, etc.). Experience building trustworthy AI systems and applying model interpretability, fairness, and safety frameworks. 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 $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. If you are based in California, we encourage you to read this important information for California residents linked here. 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.

Full job record

Job ID6c3620f5733c17e5045f9911c4dc03c80d646ef8
Org IDc8de3bbb-7456-4259-8f44-1ede2dd177b4
Source ID67c8cb0f-85e0-4b95-9dba-1694f1695757
Board ID67c8cb0f-85e0-4b95-9dba-1694f1695757
Providergreenhouse
Provider Job Key5555763004
TitleMachine Learning Engineer - LLMs & Generative AI
Normalized Title
Statusactive
Activeyes
Location TextSeattle, WA
DepartmentEngineering
Team
Employment Type
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionWA
CitySeattle
Salary Rawbase pay for this position is $155,000 to $175,000. The pay range reflects the minimum and maximum target
Salary Min155,000
Salary Max175,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/truveta/jobs/5555763004
Apply URLhttps://job-boards.greenhouse.io/truveta/jobs/5555763004
First Seen At2026-05-29 22:59:28Z
Last Seen At2026-06-06 20:35:50Z
Last Checked At2026-06-06 20:35:50Z
Last Changed At2026-05-29 22:59:28Z
Inactive At
Source Posted At2025-06-02 23:05:37Z
Source Updated At2026-04-23 22:26:25Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=truveta/date=2026-06-06/2026-06-06T20-35-50-277Z-ac5ad3c0ac9b1aa2ddb9d0d205a2c986ca4377223120d86e5833af008b2a9623.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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