Pay: $155,000–175,000/year · BaseAnnual period assumed · Location-specific pay — pay source
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.
Read the full posting
Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll work on

Lead the development, training, and deployment of large language and multimodal foundation models tailored to clinical and biomedical domains.
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).

From the employer’s posting

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).

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).

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.

What you’ll bring

All qualifications

Core experience

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.

Preferred experience

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
Experience building trustworthy AI systems and applying model interpretability, fairness, and safety frameworks.

Qualification wording

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.

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

Experience building trustworthy AI systems and applying model interpretability, fairness, and safety frameworks.

Tools in this posting

Python
PyTorch
TensorFlow

Source

- 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.

Job description

View original posting ↗

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.

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: 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.
Location & working pattern: Seattle, WA
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
Work authorization: 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.

Open source at job-boards.greenhouse.io ↗Read the full description ↓