Apple Jobs in California
Job posting data last updated March 13, 2026.
Senior ML Engineer, Data Innovation and Operations - Special Projects
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Senior ML Engineer, Data Innovation and Operations - Special Projects
Apple
Senior ML Engineer, Data Innovation And Operations
• Special ProjectsApple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something you'll add something. At Apple, we strive to make great products that empower people and improve their lives. We believe recent breakthroughs in AI/ML and robotics have the potential to unlock new experiences that were never possible before, and are looking for talented ML data engineers to realize that mission by expanding the capabilities of Apple products and platforms.
ResponsibilitiesDefine data acquisition strategies to align with program goals. Balance cost, scalability, and quality tradeoffs, and adapt the data strategies
Define data requirements in partnership with cross functional teams
Design and implement tools for monitoring, alerting, and health checking to ensure sustained data and model performance at scale
Own data operations and ensure data delivery on time with the required quality
Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making
Minimum QualificationsB.S. in Computer Science, Math, Machine Learning, Robotics, or related fields.
Minimum of 3 years relevant industry experience
Proficiency in SQL and Python
Familiarity with modern data platforms and ML ops tooling (Spark, Kubeflow, Weight & Bias)
Experience working with large-scale data pipelines
Experience building datasets for ML systems
- Experience in data operation, budgets, vendors, or external partnerships
- Preferred QualificationsM.S. or Ph.D. in related fields.
Experience working with multi-modal foundation models
Experience leading and mentoring engineering teams
Familiarity with robotic algorithms
Familiarity with modern ML approaches
Pay & BenefitsAt 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 $212,000 and $318,400, 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.
Apple accepts applications to this posting on an ongoing basis.
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