Senior Machine Learning Engineer, Developer Advocacy | US | Remote at Grafana Labs
$154,445–$185,334from the description
Jul 21, 2026
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Jul 22, 2026
What this job asks for AI summary
A senior ML engineering role focused on evolving a rule-based recommendation engine inside an in-product learning tool into a personalized, continuously improving system. The work spans building and operating recommendation and ranking models, designing experiments, defining evaluation methodology, and shipping incremental improvements alongside software engineers and data analysts. Suited to someone with hands-on experience owning recommendation or personalization systems end-to-end in a production environment.
Senior level · Remote · 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
What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.
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 (4)
This role sits at the intersection of applied data science and software engineering — it involves building, deploying, and operating recommendation models in a production service, which could reasonably map to either 15-2051 (Data Scientists) or 15-1252 (Software Developers). The posting's own framing ('applied product data science role') and emphasis on modeling, experimentation, and evaluation methodology tips the classification toward 15-2051, but the production service ownership and engineering collaboration are substantial.
HTTP/gRPC, Go/TypeScript, streaming, and distributed systems experience are listed in the 'What Makes You a Great Fit' section as context for the distributed-systems sub-bullet, not as standalone required gates — treated as preferred accordingly.
Bonus Points items (content/education recommendation experience, SaaS telemetry, warehouse-scale behavioral data, directed graphs/sequence models, contextual bandits, Grafana familiarity, open source, privacy/fairness constraints) are explicitly framed as optional extras and are marked preferred.
No specific degree requirement is stated; equivalent experience is implicitly accepted.
Read the full posting
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