Youll work on ground breaking projects to advance our AI and computer vision capabilities for human understanding. You have a strong background in implementing and optimizing CV/ML algorithms and efficiently running foundation and language models on device. Youll have the opportunity to collaborate with multi-functional teams including researchers data scientists software engineers human interface designers and application domain experts. Youll stay up-to-date on the latest advancements in AI machine learning and computer vision and apply this knowledge to drive innovation within the company.
- Experience with Robust API Design: Proven ability to design developer-facing APIs with a clear understanding of architectural tradeoffs design patterns and anti-patterns. Strong intuition for maintainability and extensibility. Exceptional debugging and performance optimization skills.
- Track record of multi-functional collaboration and product delivery: Demonstrated success delivering high-performance production-quality code in collaborative multi-disciplinary environments.
- Experience with iOS/macOS development: Familiarity with Swift SwiftUI modern concurrency (e.g. structured concurrency with async/await) and Apple system frameworks such as Cocoa/Cocoa Touch Core ML Metal and Accelerate.
- Foundational understanding of machine learning: Solid grasp of ML algorithms and development pipelines with the ability to work effectively with ML practitioners and integrate ML components into production systems.
- Experience building internal developer tools: Hands-on experience developing tools such as test data visualization systems debugging enhancements and robust unit/integration testing frameworks to support engineering workflows.
- Experience with live camera streaming applications: Understanding of real-time video pipelines image transformations and rendering loops.
- Experience integrating on-device CV/ML algorithms: Familiarity with common computer vision techniques (e.g. object detection segmentation tracking pose estimation) sequence models for real-time inference and FMs/LLMs optimized for on-device performance.
- Experience with scene understanding and AR frameworks: Exposure to ARKit RealityKit or other 3D perception pipelines (e.g. LiDAR-based depth fusion spatial tracking).
Required Experience:
Senior IC
Youll work on ground breaking projects to advance our AI and computer vision capabilities for human understanding. You have a strong background in implementing and optimizing CV/ML algorithms and efficiently running foundation and language models on device. Youll have the opportunity to collaborate ...
Youll work on ground breaking projects to advance our AI and computer vision capabilities for human understanding. You have a strong background in implementing and optimizing CV/ML algorithms and efficiently running foundation and language models on device. Youll have the opportunity to collaborate with multi-functional teams including researchers data scientists software engineers human interface designers and application domain experts. Youll stay up-to-date on the latest advancements in AI machine learning and computer vision and apply this knowledge to drive innovation within the company.
- Experience with Robust API Design: Proven ability to design developer-facing APIs with a clear understanding of architectural tradeoffs design patterns and anti-patterns. Strong intuition for maintainability and extensibility. Exceptional debugging and performance optimization skills.
- Track record of multi-functional collaboration and product delivery: Demonstrated success delivering high-performance production-quality code in collaborative multi-disciplinary environments.
- Experience with iOS/macOS development: Familiarity with Swift SwiftUI modern concurrency (e.g. structured concurrency with async/await) and Apple system frameworks such as Cocoa/Cocoa Touch Core ML Metal and Accelerate.
- Foundational understanding of machine learning: Solid grasp of ML algorithms and development pipelines with the ability to work effectively with ML practitioners and integrate ML components into production systems.
- Experience building internal developer tools: Hands-on experience developing tools such as test data visualization systems debugging enhancements and robust unit/integration testing frameworks to support engineering workflows.
- Experience with live camera streaming applications: Understanding of real-time video pipelines image transformations and rendering loops.
- Experience integrating on-device CV/ML algorithms: Familiarity with common computer vision techniques (e.g. object detection segmentation tracking pose estimation) sequence models for real-time inference and FMs/LLMs optimized for on-device performance.
- Experience with scene understanding and AR frameworks: Exposure to ARKit RealityKit or other 3D perception pipelines (e.g. LiDAR-based depth fusion spatial tracking).
Required Experience:
Senior IC
View more
View less