Machine Learning Systems Infrastructure Engineer - SIML, ISE
Description For Machine Learning Systems Infrastructure Engineer - SIML, ISE
Apple's System Intelligent and Machine Learning (SIML) group is seeking a Machine Learning Systems Infrastructure Engineer to join their team. This role is crucial in building the foundation for Apple's computer vision and machine learning technologies, which power essential features like Camera, Text & Handwriting recognition, and Apple Intelligence experiences.
The position involves building sophisticated infrastructure for product-focused machine learning projects, working with terabytes of data across various domains including image generation, LLMs, computer vision, and natural language processing. You'll be responsible for creating systems that analyze algorithm failure modes and report benchmarking results for model comparisons.
As an ideal candidate, you should be adaptable and passionate about tackling new challenges regularly. The role requires collaboration with multiple teams across Apple, driving solutions that consider various stakeholders' needs. Whether you're an experienced ML professional or a skilled engineer looking to expand into machine learning, this position offers an opportunity to work on cutting-edge technologies that impact millions of users.
The role offers competitive compensation, including a base salary range of $166,600 to $250,600, plus additional benefits such as stock options, comprehensive healthcare, and education reimbursement. You'll be part of a team that's transforming how people interact with technology through innovative ML solutions.
Working at Apple's Seattle location, you'll contribute to projects that are fundamental to Apple's ecosystem, including Camera technology, text recognition, and various intelligence features. This role combines technical expertise with the opportunity to shape the future of machine learning infrastructure at one of the world's leading technology companies.
Responsibilities For Machine Learning Systems Infrastructure Engineer - SIML, ISE
- Building infrastructure to support product-focused machine learning projects
- Building systems that leverage machine learning to index terabytes of data
- Define and build systems for analysis of failure modes of algorithms
- Building stable interfaces and contributing to internal client user experiences
- Working with multiple teams across the company
Requirements For Machine Learning Systems Infrastructure Engineer - SIML, ISE
- 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
Benefits For Machine Learning Systems Infrastructure Engineer - SIML, ISE
- Comprehensive medical and dental coverage
- Retirement benefits
- Discounted products and free services
- Education reimbursement
- Discretionary restricted stock unit awards
- Employee Stock Purchase Plan
- Discretionary bonuses
- Relocation benefits
Jobs Related To Apple Machine Learning Systems Infrastructure Engineer - SIML, ISE
