About the role
AI summarisedApple is seeking a senior Computer Vision and Generative AI Engineer to join a team developing cutting-edge technologies for future products. The role involves collaborating with cross-functional teams to solve complex challenges in 3D computer vision, multi-modal AI, and generative models, requiring deep expertise in both theory and implementation. The position demands strong software engineering skills, publication experience, and proficiency in modern AI frameworks and languages.
TechnologyOnsiteMachine Learning and AI
Key Responsibilities
- Join a team of computer vision and machine learning engineers to discover and build solutions to previously-unsolved challenges
- Push the state of the art for global audience in computer vision and generative AI
- Collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers
- Actively engage in all aspects of work from conceptualization and theoretical considerations to design, coding, and implementation
- Work with generative models, 3D reconstruction, multi-modal models, pose estimation, or tracking
- Develop and implement state-of-the-art NLP algorithms and AI models, including multi-modal LLMs and foundation models
- Contribute to the development of novel view synthesis methods such as NeRF and Gaussian Splatting
Requirements
- 5+ years building NLP/AI software professionally and successfully releasing to customers
- 5+ years of industry experience in CVML
- Advanced degree (Ph.D./M.Sc.) in CVML or similar field
- Strong track record of shipping products and publications/patents
- Strong experience in 3D Computer Vision algorithms
- Experience with state-of-the-art NLP algorithms and AI models, multi-modal LLMs, multi-modal contrastive learning, foundation models, diffusion-based models
- Strong understanding of Python and related machine learning tools (TensorFlow, PyTorch, NLTK, spaCy, Keras)
- Solid programming skills with C/C++ and Swift
- Ph.D. in Computer Science, Machine Learning, Computer Vision or related field, or M.S. in related field applying Computer Vision machine learning
- Experience in machine learning, preferably in 3D computer vision applications
- Solid foundation in 3D geometry and linear algebra
- Experience with human factors, especially eye tracking and human input interaction
- Experience in 3D graphics and rendering
- Experience in modern Novel View Synthesis methods such as NeRF, Gaussian Splatting, etc.
- Excellent presentation, written and verbal communication, engagement and interpersonal skills
- Validated skills in building great design