Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
AIML - Senior Machine Learning Research Engineer, LLM Post-training (Multilinguality)
New York City
Live, first seen by us 69 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign training strategies for instruction following, tool use, and deep reasoning
Explore architectural adaptations for multilingual foundation models
Expand language coverage of Apple Foundation Models
Advance evaluation methodologies for multilingual models
From the employer’s posting
You will tackle core training challenges in instruction following, tool use, deep reasoning, and architectural adaption
explore novel training strategies, architectural adaptations, increasing language coverage, and advance evaluation methodologies
increasing language coverage
advance evaluation methodologies
What you’ll bring
All qualificationsCore experience
- Passion for natural language processing and large language models
Qualification wording
Passionate about Natural Language Processing, Large Language Modeling (LLMs) and multilinguality?
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 1, 202669 days ago
- Recorded sightings
- 354
- Last seen by us
- Nov 9, 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
Time since we first saw it
Day 69
Similar jobs usually come down between day 7 and day 72.
At Apple, jobs usually come down by about day 43.
From 4,777 similar postings that came down, and 425 of Apple’s. Coming down is not always a hire.
Apple is hiring
442 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
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.
Your next step
Complete your application on jobs.apple.com. The employer’s form will show what is required.
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About Apple
- People
- About 166,000 in 2025, up 1% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as AAPL.
- H-1B visas
- 1,599 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
- Layoff notices
- Notices this year and last cover 57 people. The latest was filed April 23, 2026.State WARN notices
Demand for ML Engineer roles
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.
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
The Apple Translation & Multilingual Intelligence team is looking for exceptional researchers/scientists to develop the next generation of Apple Foundation Models to allow our users to communicate across language barriers and perform multilingual tasks. You will tackle core training challenges in instruction following, tool use, deep reasoning, and architectural adaption — designing models that deliver magical, deeply integrated, and privacy-forward experiences across the Apple ecosystem. You will work alongside a fast-growing team of world-class experts to explore novel training strategies, architectural adaptations, increasing language coverage, and advance evaluation methodologies.
Passionate about Natural Language Processing, Large Language Modeling (LLMs) and multilinguality? Join us to bring the most advanced multilingual solution across the Apple ecosystem.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York City
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.