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.

This position is based out of our headquarters in the Greater Seattle area.

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.

This Opportunity
Patients, doctors, and medical researchers deserve to benefit from the same large-scale technological innovations and artificial 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.

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.
• 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).
• Think and build like engineers — grounded in strong software design principles, modular architecture, and code quality.
• Collaborate across boundaries — partnering with platform, application, and product engineers.
• Demonstrate senior-level ownership — capable of setting technical direction, mentoring peers.
• Understand evaluation deeply — fluent in ML validation and measurement.
• Adapt and learn continuously.
• Act with purpose — applying thoughtful engineering and ethical AI principles.

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.

We Offer

• Comprehensive medical, dental and vision insurance
• 401K plan
• Professional development & training opportunities
• Flexible work hours and flexible paid time off
• Generous parental leave

Base pay: $175,000 to $200,000.

Note: Unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B).