Machine Learning Systems Infrastructure Engineer - SIML, ISE
Apple
Seattle, Washington, United States of America
Full-time, Regular
Posted 1 week ago
Onsite
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 necessary to create these exciting technologies.
Responsibilities
- Building infrastructure to support product-focused machine learning projects
- Building systems that leverage machine learning to index terabytes of data
- Defining and building out systems for analysis of failure modes of algorithms
- Reporting overall benchmarking results for model comparisons
Requirements
- 5+ years of experience in full-stack development
- Experience in Java and/or Python, and C/C++
- Solid working knowledge of machine learning fundamentals
- Proven experience in systems engineering fundamentals and system design
- Ability to provide publicly-available samples of work done, or shown success in coding competitions/hackathons
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
Job Details
Salary Range
$171,600 - $258,100/yearly
Location
Seattle, Washington, United States of America
Employment Type
Full-time, Regular
Original Posting
View on company website