Apple · 3 months ago
Machine Learning Engineer - Data, Productivity Apps
Cupertino, California, United States
Full-time
Onsite
Mid Level
$147K/yr - $272K/yr
3+ years expApple is a company known for turning new ideas into phenomenal products and services quickly. The Productivity Apps team is seeking a Machine Learning Engineer to work on data-driven technologies that enhance productivity tools, collaborating with a diverse team to innovate and deliver high-quality features.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Collaborating closely with your research colleagues to understand and document data requirements needed for successful model training
Sourcing, cleaning, and preprocessing data for our machine learning training pipelines
Developing hypotheses for dataset improvement through deep statistical analysis using off-the-shelf tools or tools you custom build for yourself
Designing and conducting iterative smaller-scale training experiments to validate your hypotheses
Contributing improvements to our training pipelines
Qualification
Required
MS or PhD in Computer Science, Machine Learning, Statistics, or related field
3+ years of experience contributing to machine learning models in production environments
Strong background in statistical analysis and modeling, including correlation analysis, clustering methods, probability theory, principal component analysis, outlier detection, and data visualization
Hands-on experience improving large training datasets consisting of both structured and unstructured data
Experience reading research papers and the ability to comprehend and build on key ideas
Strong programming skills and proficiency with numeric/statistical libraries like pandas, numpy, scipy, etc
Strong problem-solving and communication skills and the ability to communicate your ideas through effective data visualizations
Preferred
Experience with distributed computing frameworks (e.g., Spark, Hadoop) for large-scale data processing
Experience with deep learning toolkits like PyTorch, JAX, TensorFlow, etc
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