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Machine Learning Engineer
| Company | Truveta |
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| Location | Seattle, WA, USA |
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| Salary | $155000 – $175000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Junior, Mid Level |
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Requirements
- Have a strong understanding and experience of fundamentals of machine learning through coursework and/or prior job experience. You should be able to build and evaluate a DNN from scratch (including optimizing model size and architecture), for given data and prediction targets.
- Strong understanding of evaluation of ML models, grounded in statistics and measurement/decision science. Precision, NPV, Recall/Sensitivity, Specificity, the tradeoffs between them, and their applicability to various prediction scenarios.
- Strong experience fine-tuning LLMs and multi-modal models using supervised and reinforcement learning. Skilled in both third-party API/SDK-based fine-tuning and custom training on cloud-based compute clusters for application-specific tasks. Experience optimizing GPU usage for model training and inference is a big plus.
- Experience designing reward functions or graders for Reinforcement Fine-Tuning, especially with LLMs.
- Experience building AI agents using agentic frameworks like LangGraph or AutoGen, and ability to create end-to-end agentic AI applications from scratch. Familiarity with the latest agentic tools, frameworks, and standards (e.g., MCP, A2A). Experience designing and implementing self-improving AI agents is a big plus.
- Have experience building and maintaining reliable, secure and scalable software solutions using modern cloud-based paradigms including CI/CD, DRI, and on-call practices.
- Most important: Is a quick and self-driven learner who knows how to proactively seek help, iterate and evolve in a changing product landscape.
- 2+ years of experience building production ML engineering systems in a team setting.
- 1+ years of experience working on modern cloud-native platforms and languages (AWS, GCP, Azure).
- Familiarity with crafting modular APIs and building engaging and intuitive web experiences, especially agentic AI protocols such as MCP and A2A.
- B.S. or M.S. in Computer Science or related field.
Responsibilities
No responsibilities provided.
Preferred Qualifications
- Proven track record of publishing in leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL).
