Pay
Higher than most similar jobs
$207K–$300K against $166K–$240K, the middle half of what similar US postings state.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Mountain View, CA
Live, first seen by us 29 days agoIndividual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .Read the full posting
Build scalable end-to-end infrastructure with tight latency and freshness limits
Set roadmap and cross-team OKRs while acting as technical lead
Drive automated ad creation while keeping advertiser constraints and ROI in check
Refine user and advertiser experiences to meet their needs
Build scalable end-to-end infrastructure that can serve under tight latency and freshness constraints.
taking on TL responsibilities such as setting the roadmap, goal, and cross-team Objectives and Key Results (OKRs).
Work in an environment that embraces automation of ad creation while keeping a strict oversight of advertiser constraints and Return on Investment (ROI).
Refine user and advertiser experiences to find one that meets their needs.
**Minimum qualifications:** + Bachelor's degree or equivalent practical experience. + 8 years of software development experience in one or more programming languages, data structures, and algorithms.
**Preferred qualifications:** + PhD in Computer Science, Statistics, or related fields. + Experience in GenAI related model fine tuning, large language models building or product enablement exploration.
We found this posting on the National Labor Exchange. These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Higher than most similar jobs
$207K–$300K against $166K–$240K, the middle half of what similar US postings state.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Day 29
Similar jobs usually come down between day 8 and day 75.
Well past Google’s usual: its jobs come down by about day 3.
From 5,198 similar postings that came down, and 484 of Google’s. Coming down is not always a hire.
233 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Mountain View, CA
Working pattern and location restrictions need checking in the full posting.
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