Building the next revolution of machine learning technology to impact the future of Apple and its products
Requirements
- Demonstrated expertise in machine learning research
- Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc)
- Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch
- Strong mathematical skills in linear algebra and statistics
- Ability to formulate a research problem, design, experiment, implement and communicate solutions
- Ability to work in a diverse collaborative environment
- PhD, or equivalent practical experience, in Computer Science, or related technical field
Responsibilities
- Propose your own research plan to advance our understanding of machine learning and execute it through implementation and experimentation
- Provide technical mentorship and guidance
- Prepare technical reports for publication and conference talks
- Collaborate with world-class machine learning engineers and researchers to impact the future of Apple products
- Publish some of your results in high-quality scientific venues
- Work on innovative foundational research in machine learning
- Collaborate with broader teams across Apple
Other
- PhD, or equivalent practical experience, in Computer Science, or related technical field
- Ability to work in a diverse collaborative environment
- Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan
- Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services
- Reimbursement for certain educational expenses - including tuition
