Staff Machine Learning Engineer
Boulevard
$118,400–$171,000from the description
Jul 15, 2026
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Jul 21, 2026
What this job asks for AI summary
A senior individual contributor role focused on building and operating machine learning and AI systems for a self-care business software platform. The work spans the full ML lifecycle — data pipelines, feature engineering, model training, deployment, and monitoring — with a particular emphasis on LLMs, embeddings, forecasting, and recommendation systems. The role also involves technical leadership, mentoring, and shaping semantic data models that support analytics products.
Staff level · 7+ years · 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
Roughly 1,900 people nationally plausibly meet what this posting asks for (data scientists). range 1,150–2,850
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). 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 (6)
The role sits at the intersection of ML engineering and data engineering — the primary day-to-day work (building and deploying production ML/AI systems, LLMs, embeddings, forecasting, recommendation systems) maps most closely to Data Scientists (15-2051), but the strong emphasis on scalable data pipelines, data platform engineering, and end-to-end ML workflows also makes Software Developers (15-1252) a credible runner-up.
The 7+ years requirement is stated as 'combined experience in Data Engineering and Machine Learning roles,' with a separate 3+ year gate on production ML systems; 7 years is used as the overall years minimum.
Compensation is quoted as two geographic tiers: $136,000–$171,000/year for NYC, SF Bay Area, and Seattle; $118,400–$162,800/year for all other US locations. The lower bound of the broader range ($118,400) and the upper bound of the higher-cost range ($171,000) are reported.
Snowflake Cortex is explicitly called out as 'a plus' and is listed as preferred accordingly.
The caller has declared this a fully-remote, national role; no metro is inferred.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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