Summary

Description

Minimum Qualifications

• PhD, MS or equivalent in Computer Science, Engineering, or equivalent; strong mathematical skills in linear algebra and statistics.
• Demonstrated expertise in Machine Learning or Computer Vision;
• Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, CoRL, etc).
• Hands-on experience working with deep learning toolkits such as Jax or PyTorch/
• Ability to formulate a research problem, design, experiment, implement and communicate solutions.

Preferred Qualifications

• Work in Foundational Models or Reinforcement Learning.
• Experience with Scalable ML Systems and Frameworks.
• Strong passion for systems-based and mission-driven research with focus on execution and velocity.
• Ability to work in a diverse collaborative environment as part of larger projects.

Pay & Benefits

• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.
  
  Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. 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. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
  
  Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  

• Apple 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. Learn more about your EEO rights as an applicant.