ML Data - Research Scientist

Location: Cupertino, CA | Type: Full-time | Posted: 7/23/2026

About the role

The ML Data Researcher role at Apple involves tackling the challenges of collecting multi-modal human data and establishing reliable ground truth. You will work within a dynamic team to design and conduct experiments aimed at improving data collection methods. The focus is on reducing subjectivity and enhancing signal quality to aid in the development of multi-modal models. This position offers the opportunity to contribute to groundbreaking products that will impact millions of customers.

Requirements

• BS in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field
• Hands-on experience in a data-oriented, experimentation-heavy role, ideally supporting ML model development
• MS/PhD in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field
• 10 years of relevant industry experience
• Experience with multi-modal human data and the challenges of establishing ground truth for such data
• Familiarity with human probing/annotation methods and inter-rater reliability techniques
• Experience designing data collection experiments and interpreting their effect on model training/convergence
• Outstanding communicator with the ability to present complex technical findings to diverse audiences
• Collaborative team player who thrives in multidisciplinary, cross-functional environments

Responsibilities

• Design and conduct experiments on data collection methods to improve signal quality
• Reduce subjectivity in multi-modal human data collection
• Enhance the convergence speed and performance of multi-modal models
• Collaborate with team members to interpret the effects of data collection on model training
• Present complex technical findings to diverse audiences

Benefits

• Comprehensive medical plans and confidential counseling
• Onsite wellness centers at major campuses and fitness resources
• Fertility support and paid parental leave with gradual return
• Caregiving leave and dependent-care guidance
• Stock grants with purchase discounts and 401(k) matching
• Income-protection coverage
• Robust time off policies
• Apple University learning and tuition reimbursement
• Donation matching and paid volunteer hours
• Deep product and partner discounts