Senior AI Applications Engineer
Job Description
- Experience integrating LLMs into applications, including on-device model inference and application-level integration
- Experience with AR/computer vision domains (ARKit, RealityKit, or related frameworks)
- Systems-level thinking
- Cross-functional collaboration experience with AI/ML teams, including driving technical requirements and translating between engineering and research contexts
- Experience building internal frameworks and APIs with consideration for potential external developer exposure
- Experience working with sensor data processing (camera, microphone, IMU) with security considerations
- Performance optimization experience, particularly for resource-constrained or real-time systems
- Proficiency in Swift with solid understanding of iOS frameworks and system-level development.
- Familiarity with Objective-C or similar languages (C++, C, etc).
- Experience shipping customer-facing features or products to production at scale
- Experience developing under strict privacy and security constraints, including techniques like secure data processing, and/or privacy-by-design principles
- Ability to mentor engineers in production-quality coding practices and shipping discipline
- BS / MS / PhD in Computer Science OR equivalent degree OR equivalent experience
- Comprehensive medical and dental coverage
- Retirement benefits
- A range of discounted products and free services
- Reimbursement for certain educational expenses — including tuition (for formal education related to advancing your career at Apple)
- Discretionary bonuses or commission payments (might be eligible)
- Relocation (might be eligible)
- Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
- Eligible for discretionary restricted stock unit awards
- Can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan
Apple Vision Pro is a revolutionary spatial computer that seamlessly blends digital content with your physical space. It will allow us to do the things we love in ways never before possible — all while staying connected to the people around us. The Vision Products Group (VPG) is looking for a Senior AI Applications Engineer to help us push the limits on the next generation of interactive computing for our platform. This team is working with some of Apple's most advanced technologies including augmented reality (AR), machine learning (ML) and computer vision (CV). As a senior member of our organization you will drive exploration of future products that will delight, inspire and empower millions of people
This role involves developing the underlying systems and frameworks that power cutting edge vision-based experiences, working closely with many cross functional teams while ensuring user privacy and system performance across an ecosystem of devices. Engineers are expected to work quickly and creatively to help determine the viability of ideas and technologies while building robust, production-ready systems that millions of users will depend on. You will need to be comfortable writing Swift code, evaluating AI/ML algorithms for on-device integration, collaborating on user experience design, debugging complex cross-device interactions, and mentoring team members on shipping discipline and production-quality development practices.
- Proficiency in Swift with solid understanding of iOS frameworks and system-level development.
- Familiarity with Objective-C or similar languages (C++, C, etc).
- Experience shipping customer-facing features or products to production at scale
- Experience developing under strict privacy and security constraints, including techniques like secure data processing, and/or privacy-by-design principles
- Ability to mentor engineers in production-quality coding practices and shipping discipline
- BS / MS / PhD in Computer Science OR equivalent degree OR equivalent experience
- 5+ Years in software development
- Experience integrating LLMs into applications, including on-device model inference and application-level integration
- Experience with AR/computer vision domains (ARKit, RealityKit, or related frameworks)
- Systems-level thinking
- Cross-functional collaboration experience with AI/ML teams, including driving technical requirements and translating between engineering and research contexts
- Experience building internal frameworks and APIs with consideration for potential external developer exposure
- Experience working with sensor data processing (camera, microphone, IMU) with security considerations
- Performance optimization experience, particularly for resource-constrained or real-time systems
