Senior Machine Learning Engineer, Moloco NEXT at Moloco
Menlo Park, CA
$200,000–$260,000
Jul 29, 2026
Menlo Park, CA
Jul 29, 2026
What this job asks for AI summary
A Senior ML Engineer role on Moloco's NEXT performance advertising platform, focused on owning CTR/CVR prediction models end-to-end within a real-time bidding system operating under 100ms latency constraints. The work spans model development, feature pipeline engineering, online A/B experimentation, signal discovery, and building agentic tooling to automate experiment debugging — with an expectation of setting technical direction for the team's ML roadmap.
Senior level · 5+ years · San Jose-Sunnyvale-Santa Clara, CA · Full-time
Pay in the description: $200,000–$260,000
“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 1,150 people in the San Jose-Sunnyvale-Santa Clara, CA area plausibly meet what this posting asks for (data scientists). range 240–1,700
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $189,150 (middle half $152,859–$224,286). 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 29, 2026. It is a model, not a headcount.
Why we read it this way (6)
The salary ranges shown ($200K–$260K for Region A, $180K–$235K for Region B, $170K–$225K for Region C) vary by assigned work location; the figures extracted here reflect Region A (SF Bay Area / Menlo Park / New York), which is the highest band.
The posting explicitly states 'We don't filter on degrees,' so no degree is hard-required despite the seniority level.
LLM experience (as agents or feature extractors) is listed under a 'Bonus' qualifier and is treated as preferred.
The role is genuinely ambiguous between Data Scientists (15-2051) and Software Developers (15-1252): it involves both production ML modeling/statistics and substantial software engineering (feature pipelines, agentic tooling, train/serve consistency). The ML modeling and signal-discovery emphasis tips the primary classification toward 15-2051.
The posting lists multiple office locations globally; the role's primary location is anchored to Moloco's Silicon Valley headquarters for CBSA purposes, though candidates in other US regions are accommodated via the tiered salary structure.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): large-scale prediction systems, data analysis.
Read the full posting
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