AIML- Machine Learning Engineer, Data & ML Innovation
Published | January 12, 2023 |
Location | Santa Clara Valley (Cupertino), United States of America |
Category | Machine Learning |
Job Type | Full-time |
Description

Summary
- 5+ years of professional work experience in software development.
- Proficiency in Python (preferred) and one other OO language.
- Data Analysis skills
- Experience working with data pipelines and products.
- Strong programming and software engineering skills
- Strong organizational skills and experience working with multiple stakeholders.
- Ability to develop a long-term vision and execute strategies at scale.
- Experience in fast-paced, agile work environments.
- Knowledge of statistics-based testing approaches, ML training pipelines, and accuracy improvements of ML systems is a plus.
- 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 $130,000 and $242,000, 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.