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Senior ML Infrastructure Engineer - VE Algorithms

Pay
Pay not listedSimilar roles state $166K–$240K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Build infrastructure for training large-scale generative models

  • Benchmark and prototype algorithm choices against training and deployment infrastructure

  • Work with cross-functional algorithm design and infrastructure engineers

From the employer’s posting
building infrastructure for training, adapting and deploying large-scale generative models
to benchmark, prototype and steer algorithmic choices to best fit our training and deployment infrastructure
working closely with a cross functional team of algorithm design and infrastructure engineers

What you’ll bring

All qualifications

Core experience

  • Experience building infrastructure for large-scale generative models
Qualification wording
We are seeking engineers experienced in building infrastructure for training, adapting and deploying large-scale generative models

Posting record

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Open 4 monthsWe first saw this posting 148 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 9, 2026148 days ago
Recorded sightings
396
Last seen by us
Nov 4, 2026
Employer says posted
Apr 21, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 148

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,339 similar postings that came down. Coming down is not always a hire.

Apple is hiring

443 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • ML Engineer hiring is steady
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

Your next step

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About the role

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.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

Are you passionate about groundbreaking modeling technologies to enrich billions of people? We are the Video Engineering (VE) team at Apple developing cutting-edge video and machine learning algorithms to build the photo and video features that Apple devices are well known for. We are seeking engineers experienced in building infrastructure for training, adapting and deploying large-scale generative models. In this role, you will be working closely with a cross functional team of algorithm design and infrastructure engineers to benchmark, prototype and steer algorithmic choices to best fit our training and deployment infrastructure.
Source details

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Pay

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Location & working pattern

San Diego

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