HHiring Reality
← Truveta

Senior Machine Learning (ML) Engineer

Truveta
Location
Seattle, WA
Posted
20 days ago
Department
Engineering
Salary
$175,000 to $200,000
What they actually want (must-haves)
  • 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
What the job really is

As a Senior Machine Learning Engineer at Truveta, you will work on developing healthcare AI systems that leverage large-scale data to enhance decision-making and improve patient outcomes. Your role will involve designing agentic AI frameworks, optimizing large language models, and collaborating with cross-functional teams to create scalable AI solutions. This position emphasizes both technical expertise in machine learning and strong software engineering principles, all while contributing to a mission-driven environment focused on transforming healthcare through data.

Benefits
  • 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
Things to weigh
  • No specific mention of the tech stack beyond ML frameworks and cloud environments
  • Base pay range provided but may vary based on experience and location, with potential for additional compensation
  • No information on remote work options beyond the hybrid model stated
  • Candidates must be authorized to work in the U.S. as no visa sponsorship is available
Job score4.6/5
Benefits4/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency5/5

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