Mountain View, CA

Salary
$160,000–$250,000from the description
Posted
Jul 9, 2026
Location
Mountain View, CA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A senior ML engineering role focused on ads recommendation systems, sitting within a team dedicated to next-generation advertising infrastructure. Day-to-day work spans researching and developing deep learning models for user behavior modeling, validating those models against large-scale real-time data, and collaborating with engineering and product partners to bring research into production. Suits experienced practitioners with a strong background in applied machine learning and distributed data systems.

Senior level · National · Full-time

Must have (4)
PythonPyTorchdeep learningdistributed computing
Nice to have (1)
ads recommendation systems

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 won't set you apart
Python88%deep learning40%

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)

No specific work location or CBSA is stated in the posting; the salary range ($160K–$250K) is noted to vary by geographic location, suggesting the role may be open across multiple US locations or remote — but the posting does not explicitly state remote eligibility, so remote is marked false.

The role sits at the boundary between Data Scientist (15-2051) and Software Developer (15-1252): it involves foundational ML research and model development (pointing to 15-2051) but also productionalization and engineering collaboration (pointing to 15-1252). 15-2051 was chosen as primary given the emphasis on research, model design, and deep learning.

Skills listed under 'What we're looking for' are treated as hard requirements. 'Ads recommendation algorithms' and domain knowledge of ads serving appear as context/scope rather than a standalone gated skill, so ads recommendation is marked preferred.

No minimum total years of experience is explicitly stated in the posting.

No degree requirement is stated.

Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): user behavior modeling, large-scale data analysis.

Read the full posting

The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.

Apply

Apply on employer site ↗