Computer Vision and Machine Learning Engineer
4 days ago
We are seeking a highly skilled Computer Vision and Machine Learning Engineer to join our Video Computer Vision team at Apple Inc. As a member of this team, you will be responsible for developing cutting-edge artificial intelligence research that will shape the future of spatial computing.
Key Responsibilities- Design and implement algorithms for spatial media and AI, working closely with computer vision and machine learning researchers.
- Collaborate with cross-functional teams to integrate computer vision and machine learning technologies into Apple products.
- Develop and maintain high-quality software components, ensuring they meet the highest standards of performance, scalability, and reliability.
- Stay up-to-date with the latest advancements in computer vision, machine learning, and spatial computing, and apply this knowledge to drive innovation and improvement in our products.
- Contribute to the development of new features and technologies that will revolutionize the way people interact with our products.
- Proficient in C/C++, CUDA, or other GPGPU programming languages.
- Expertise in at least one deep learning framework, such as PyTorch, TensorFlow, or Jax.
- Solid foundation in 3D graphics and computer vision.
- Understanding of machine learning technology and its applications in spatial computing.
- Strong programming, debugging, and design skills, with a passion for delivering high-quality software components.
- Able to work independently and collaboratively as part of a team.
- Excellent problem-solving, critical thinking, and communication skills.
- Bachelor's degree and a minimum of 3 years relevant industry experience.
- Experience with Swift programming language.
Apple Inc. is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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