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Apple
AIML - Sr Machine Learning Engineer, Data and ML Innovation
3 weeks ago• Cupertino, CA
Viewed on February 1, 2026
Apply on company site
About Us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
- Size: 10000+ employees
- Industry: Technology, Information Technology, Software, Consumer Goods & Services
View Company Profile:
The vision for DMLI organization is to improve Apple Foundation Model and advance in ML Research. Within this organization the mission of the ML Data & Applications (MLDA) team is to build products that enable Apple Foundation Model team to quickly identify model soft spots and iterate on improving model capabilities. As a UI Engineer on the team, you will work on an internal product that showcases the power of Apple Foundation Model and provides valuable data for model hillclimbing.
Description:
You will partner closely with Apple Foundation Model and SWE product feature teams to develop data visualization approaches for understanding complex aspects of the LLM user experience. You will build analytic, visualization, and other information products with a drive to automate and scale the insights available to science and engineering teams. You will guide best practices on the visual presentation of information and information architecture of LLM products. You will perform exploratory data analyses to enrich our mental models about LLM usage and identify new questions to pursue. We are looking for people with a track record in building front-end products and relationships to affect decisions. Join us, and impact hundreds of millions of customers across billions of their interactions with a personal, intelligent assistant who is available on i Phone, i Pad, Home Pod, Mac, Watch, Car Play, and tv across more than 30 languages.
Preferred Qualifications:
Think about data in Have good judgment for balancing art and science when visually communicating information.
Can build information out of massive and complex datasets optimally (e.g. Hive, Spark SQL, Druid).
Are self-motivated and curious with demonstrated creative and critical thinking capabilities and an innate drive to improve how things work.
You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
You have excellent verbal and written communications skills and experience in influencing decisions with information.
Minimum Qualifications:
Have experience building front-end applications using Typescript, React and other UI frameworks.
Have expertise in modern Javascript and data visualization libraries (e.g. D3, VisX, Vega). Data visualization skills are a plus.
Familiarity with API development using web frameworks (e.g., Express).
Experience with testing frameworks (e.g. Jest, Mocha).
Have familiarity with at least one backend programming language (e.g. Python) and are comfortable developing tools in a team environment (e.g. git, documentation, testing).
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
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About Apple

Apple
PublicA technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10,001+
Employees
Cupertino
Headquarters
$3.5T
Valuation
Reviews
4.0
10 reviews
Work Life Balance
4.0
Compensation
4.2
Culture
3.8
Career
3.5
Management
3.2
75%
Recommend to a Friend
Pros
Great coworkers and people
Excellent benefits and perks
Fast-paced and engaging work environment
Cons
High expectations and pressure
Management quality varies
Limited career progression opportunities
Salary Ranges
17,968 data points
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Principal/L7
Senior/L5
Staff/L6
Junior/L3 · Data Scientist ICT2
0 reports
$121,979
total / year
Base
-
Stock
-
Bonus
-
$103,682
$140,276
Interview Experience
5 interviews
Difficulty
3.4
/ 5
Duration
28-42 weeks
Offer Rate
20%
Experience
Positive 20%
Neutral 40%
Negative 40%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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