Machine Learning Engineer III at Avalara
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Jul 7, 2026
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Jul 20, 2026
What this job asks for AI summary
A senior individual-contributor role focused on building and extending a large language model platform that supports AI-powered applications across the company. Day-to-day work involves designing, coding, and shipping LLM framework features using Python, cloud infrastructure (AWS), and tools such as Docker, Kubernetes, and MLFlow, while also conducting code reviews and mentoring junior engineers. Suits engineers with 5+ years of software development experience and hands-on production ML work.
Senior level · 5+ years · Remote · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 3,100 people nationally plausibly meet what this posting asks for (data scientists). range 1,850–4,650
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role sits at the boundary between ML/AI engineering (15-2051 Data Scientists) and software development (15-1252 Software Developers). The primary framing is building an LLM platform and framework — closer to applied ML engineering — but the heavy emphasis on software development lifecycle, code quality, CI/CD, and mentoring gives it a strong software-developer character. 15-2051 was chosen as the primary code given the explicit ML model building, LLM framework ownership, and GenAI focus.
Cloud platform requirement lists AWS, Azure, and GCP as co-equal options ('AWS, Azure, GCP'); AWS is named first and also appears in the tech stack list, so it is used as the primary with Azure and GCP as alternatives.
The 'Technologies you will work with' section (MLFlow, Docker, Kubernetes, Terraform, GitLab, Postgres, Prometheus, Grafana) reads as a stack description rather than a gating requirements block, so those tools are marked preferred.
Degree requirement states 'Bachelor's/Master's degree in computer science' with no explicit 'or equivalent experience' escape clause, so Bachelor's is set as the minimum hard requirement.
No compensation figures are provided in the posting.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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