Jobs

AIML - Sr Engineering Program Manager, Apple Intelligence and Model Evaluation
Cupertino, CA
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Top Tier compensation with equity
•Parental leave program
•Wellness benefits
•Remote work flexibility
•Health, dental, and vision coverage
Required Skills
Apache Spark
Airflow
SQL
AIML Engineering Program Manager
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.
About the Role
As an AIML Engineering Program Manager (EPM) at Apple, you will drive complex and innovative GenAI-based features that are essential to the success of Apple's products. We seek candidates with exceptional emotional intelligence who can lead diverse cross-functional teams to deliver key features integrated across all Apple products and services.
Responsibilities
- Drive and ship all aspects of large, cross-functional projects
- Lead concurrent initiatives by defining project scope, authoring requirements, verifying resource allocation across the technology stack, identifying and mitigating risks, and establishing concise and thorough project timelines
- Establish trust and create opportunities for seamless collaboration with colleagues across the AIML organization along with other Apple groups (e.g. Software Engineering, Hardware, Services) to ensure successful delivery of critical features
Minimum Qualifications
- 10+ years of experience in leading successful software programs
- Have personally orchestrated the successful delivery of multiple significant client/server software products involving large-scale, cross-functional teams
- Strong analytical skills with a curiosity and appetite for solving complex problems
- High level of accountability and responsibility
- Ability to drive strategic priorities and ensure teams are focused on the right things at the right time
- Self-motivated, and able to motivate colleagues, to drive tasks to completion
- Excellent communication and presentation skills (written and verbal)
- Comfortable communicating and presenting at all organizational levels
- Strong technical proficiency
- Bachelor's degree or equivalent
Preferred Qualifications
- Experience with GenAI and machine learning-powered features, particularly in the model evaluation space
- Master's degree (or higher) in Computer Science or related field
Equal Opportunity
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
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$114,215
total / year
Base
$45,686
Stock
$57,108
Bonus
$11,422
$79,951
$148,480
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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