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Apple
AIML - Applied ML Research Scientist, 3 weeks ago• Pittsburgh, PA
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:
We are seeking an Applied Machine Learning Research Scientist to join our Research Scientists in HCMI tackle significant technical and human-centered research challenges, collaborate with partner teams across Apple to ship products, and shape the field of human-centered AIML via external publication and engagement.
Join us to design, study, and build intelligent interactive technologies that enable people of all abilities to use Apple technology.
Description:
The Human Centered Machine Intelligence (HCMI) group designs, studies, and builds interactive technologies that enable people to benefit from machine learning. We are a close-knit team of research scientists and engineers in a unique position to do research and work closely with product teams throughout Apple.
Our work has resulted in numerous award-winning research publications and groundbreaking technologies impacting millions of people.
The ","responsibilities":"Developing new ML modeling approaches around vision, time-series, or multimodal ML.
Advancing the state of the art on Designing and analyzing experiments to evaluate machine learning modeling approaches.
Working with partner teams to integrate machine learning approaches into human-centered applications.
Evaluating ML-powered applications using human-centered methods.
Creating human-centered machine learning contributions to be shared internally and/or externally (e.g., in ML and human-computer interaction venues).
Preferred Qualifications:
Experience designing machine learning models for sign language.
Experience conducting research in Experience doing data collection or data curation (e.g., developing data or annotation protocols).
Experience with human-centered evaluation methods (e.g., developing user study protocols or running studies).
Experience developing and shipping products that use machine learning.
Strong writing and presentation skills.
Minimum Qualifications:
PhD in Machine Learning, Human Computer Interaction, Computer Science, or related field.
Experienced researcher in areas of machine learning, including computer vision or multi-modal modeling.
Publication and research record commensurate with seniority.
Proven history of turning research contributions into tools, guidelines, or products either commercially or as open source, or strong potential to do so.
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By signing up, you agree to our 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 .
Client-provided location(s): Pittsburgh, PAJob ID: apple-200635941-2926_rxr-660Employment Type: OTHERPosted: 2026-01-07T19:13:49Apply on company site
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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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