Apple · 2 months ago
Machine Learning Data Scientist, Productivity Apps
Cupertino, California, United States
Full-time
Onsite
Mid, Senior Level
$147K/yr - $272K/yr
3+ years expApple is a company known for its innovative products and services. The Productivity Apps team is looking for a Senior Machine Learning Data Scientist to help shape the next generation of productivity tools by working on pioneering technologies. In this role, you will provide actionable insights that drive improvements to core metrics and benchmarks.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Analyzing user feedback and telemetry to identify domain gaps between training and actual distributions
Designing smaller-scale experiments to validate your hypotheses and inform further experimentation
Developing tooling, presentations, diagrams, etc to effectively communicate the actionable insights you generate from your analysis
Collaborating with our research and post training teams to inform additional model iteration and data collection
Qualification
Required
At least 3 years experience with each of the following:
Contributing actionable insights to drive performance improvements in production environments
Statistical analysis and modeling, including correlation analysis, clustering methods, probability theory, principal component analysis, outlier detection, and data visualization
Using ML approaches for statistical analysis
Bachelor's degree required in Computer Science, Machine Learning, Statistics fields, or a related subject area, or we may consider an equivalent industry experience
Ability to distill complex data analysis into clear, user-focused recommendations and visualizations that drive product enhancements
Proficiency with Python and numeric/statistical libraries like pandas, numpy, scipy, etc
Strong English communication skills (both written and verbal)
Preferred
MS or PhD in Computer Science, Machine Learning, Statistics fields, or a related subject area
Understanding of how modern deep learning models work and how they're applied to solve user problems
Experience with distributed computing frameworks (e.g., Spark, Hadoop) for large-scale data processing
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and ML deployment tools
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase