Machine Learning Resource Management Engineer - SIML
Apple
About the role
Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can. And we are looking for hardworking engineers who can contribute to building the ecosystem of tooling vital to create these exciting technologies.
Responsibilities
- Contribute to improvements on how we manage resources from a technical and policy standpoint
- Influence the rest of the company on these aspects
- Develop numerous tools to facilitate development of ML models and collaboration around these ML models
- Manage the use of multiple resources such as training compute for Software Engineering, or disk footprint of on-device ML models throughout our operating systems
Requirements
- Bachelors or Master’s degree in Computer Science, Engineering, or equivalent experience
- 5+ years of proven experience in leading infrastructure strategy to support scalable, high-performance ML systems
- Proficient in Python and/or C++
- Validated experience in engineering resource management with strong communication and interpersonal skills
- Experience in software automation
- Understanding of fundamental machine learning concepts
Benefits
- Comprehensive medical and dental coverage
- Retirement benefits
- Range of discounted products and free services
- Reimbursement for certain educational expenses
- Discretionary restricted stock unit awards
- Employee Stock Purchase Plan
- Discretionary bonuses or commission payments
- Relocation assistance
About the Company
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.
Job Details
Salary Range
$171,600 - $258,100/yearly
Location
Seattle, Washington, United States
Employment Type
Full-time, Regular
Original Posting
View on company website