or apply directly on Truveta's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 16 days Truveta's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 51% of Truveta's roles list one
- Ghost-job risk at Truveta
- high 29 stale, 1 reposted of 43 open
- Hiring momentum
- 55 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Truveta's own greenhouse board since 2026-08-03. Full hiring picture for Truveta.
About this role
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
- 4/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Truveta as an employer.
What you need
- 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 you get
- 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
Worth weighing
- 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
Summarised from Truveta's posting. Read the full original.
Listed by Truveta on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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