Machine Learning Engineer, Productivity Apps

The Productivity Apps team—the team behind apps like Notes, Freeform, and iWork— needs your help shaping the next generation of productivity tools by working on pioneering technologies to surprise and delight our users.

• Collaborating closely with 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.

• 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.

• Comprehensive medical and dental coverage
• Retirement benefits
• Range of discounted products and free services
• Reimbursement for certain educational expenses
• Discretionary bonuses or commission payments
• Relocation assistance

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly!