Machine Learning Engineer, OS Intelligence
3 weeks ago
Job Summary
Apple is seeking a highly skilled Machine Learning Engineer to join the OS Intelligence team within Core OS Power & Performance. As a key member of this team, you will design and implement innovative Machine Learning solutions that enhance the user experience of Apple products.
Key Responsibilities
- Design and develop Deep Learning architectures to improve the operating system's intelligence
- Implement industry-leading Machine Learning algorithms to optimize system performance
- Contribute high-quality software to iOS, iPadOS, macOS, watchOS, and visionOS
- Collaborate with cross-functional teams to add intelligence to new domains
- Analyze and present key performance data for highly visible OS features
Requirements
- Bachelor's degree in Computer Science or equivalent work experience
- Strong programming background and understanding of operating system components
- Familiarity with statistics, data analysis, or machine learning and enthusiasm to learn more
- Highly professional and collaborative with outstanding communication and presentation skills
- Proven track record leading software projects from inception through customer delivery
Preferred Qualifications
- Familiarity with Python, Objective C, or Swift
- Familiarity with Deep Learning libraries like PyTorch and Tensorflow
- Experience building and leading Applied Machine Learning projects in industry or academia
What We Offer
At Apple, we offer a comprehensive compensation package, including base pay, discretionary bonuses, and commission payments. We also provide benefits such as comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services. Additionally, Apple employees are eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount through our Employee Stock Purchase Plan.
Apple is an Equal Opportunity Employer
We are committed to inclusion and diversity, and we take affirmative action to ensure 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.
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