Staff ML Engineer: LLM & RAG Apps (Hybrid)

MediaAlpha

Bellevue (WA)

Hybrid

USD 157,000 - 291,000

Full time

14 days+

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Benefits offered by this job

Annual discretionary bonus program
100% employer-paid health, dental, and vision insurance
401(k) retirement plan with matching contributions
Open paid time off policy with holidays
Cell phone, wellness, and internet reimbursement
Fully paid parental leave

Job summary

A tech-driven customer acquisition firm in Bellevue is seeking a Staff Machine Learning Engineer to lead the design and development of LLM-powered applications. In this hybrid role, you will own the software development lifecycle, collaborate with teams, and mentor engineers. The ideal candidate has 9+ years of experience, strong Python skills, and expertise in RAG architectures. The position offers a competitive salary and numerous benefits, including 100% employer-paid health insurance and paid parental leave.

Qualifications

  • 9+ years of experience in software development.
  • Experience designing and owning systems end-to-end.
  • Strong programming skills in Python.

Responsibilities

  • Own the full software development lifecycle of LLM-powered systems.
  • Design and implement retrieval-augmented generation (RAG) systems.
  • Integrate LLM-based services into MediaAlpha's products.

Skills

Software development
Python
LLM application development
RAG architectures
Collaboration

Education

Bachelor's degree in computer science or related

Tools

AWS (EC2, S3, Bedrock)

Job description

A tech-driven customer acquisition firm in Bellevue is seeking a Staff Machine Learning Engineer to lead the design and development of LLM-powered applications. In this hybrid role, you will own the software development lifecycle, collaborate with teams, and mentor engineers. The ideal candidate has 9+ years of experience, strong Python skills, and expertise in RAG architectures. The position offers a competitive salary and numerous benefits, including 100% employer-paid health insurance and paid parental leave.
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