Jobs
Benefits & Perks
•Annual team offsites
•Remote work flexibility
•Flexible PTO policy
•Learning and development stipend
•Parental leave program
Required Skills
Apache Spark
SQL
PyTorch
About the Role
Our team is building next generation systems and tools supporting the research and development of machine learning models, and their integration into the products Apple customers love. We're a fast moving, highly skilled but small team designing and building a collection of tools and systems used by Apple's MLEs and data scientists to build, test and deploy their products. Our systems have to scale, stay highly available, and "just work". That's a tall order, and we're looking for talented and passionate engineers who love dealing with such challenges.
Our team designs and builds ML systems and tools that support applied ML teams throughout their product development cycle. Using our systems, MLEs and data scientists perform data acquisition and synthesis, training, evaluation, and serving.
In this role, you will be responsible for engineering solutions to support model training, such as building reliable and scalable systems to run data processing pipelines, data generation engines, model evaluation infrastructure, and model inference systems. You may also be involved in directly integrating ML into products. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions.
You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.
Minimum Qualifications
- 3+ years as a Machine Learning Engineer or Software Engineer working on deploying large-scale systems
- Strong understanding in data centric systems, distributed systems, reliability, and cloud services
- Hands-on experience in designing and coding large scale systems
- Proven experience with applied machine learning, data engineering, or similar
- MS in Computer Science or related experience
Preferred Qualifications
- Experience with developer tools or developer productivity systems
- Experience with open source or inner source
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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