Machine Learning Data Scientist, Productivity Apps
Apple
Machine Learning Data Scientist, Productivity Apps
Job Description
At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! 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. As a Senior Machine Learning Data Scientist, you will be working alongside our world-class creatives, designers, scientists, and engineers to help innovate in the productivity space in ways that only Apple can. This is a highly visible, highly impactful opportunity! As a Machine Learning Data Scientist, you’ll be responsible for providing actionable insights to our research and post training teams that drive improvements to our core metrics and benchmarks. Your contributions will be critical to our success in delivering high-quality features to our customers.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 45,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- At least 3 years experience with each of the following: (experience, 3 years)
- Contributing actionable insights to drive performance improvements in production environments. (experience)
- Statistical analysis and modeling, including correlation analysis, clustering methods, probability theory, principal component analysis, outlier detection, and data visualization. (experience)
- Using ML approaches for statistical analysis. (experience)
- Bachelor’s degree required in Computer Science, Machine Learning, Statistics fields, or a related subject area, or we may consider an equivalent industry experience. (experience)
- Ability to distill complex data analysis into clear, user-focused recommendations and visualizations that drive product enhancements. (experience)
- Proficiency with Python and numeric/statistical libraries like pandas, numpy, scipy, etc. (experience)
- Strong English communication skills (both written and verbal). (experience)
Preferred Qualifications
- MS or PhD in Computer Science, Machine Learning, Statistics fields, or a related subject area. (degree in phd in computer science)
- Understanding of how modern deep learning models work and how they’re applied to solve user problems. (experience)
- Experience with distributed computing frameworks (e.g., Spark, Hadoop) for large-scale data processing. (experience)
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and ML deployment tools. (experience)
Responsibilities
- As a Machine Learning Data Scientist, you’ll be responsible for providing actionable insights to our research and post training teams that drive improvements to our core metrics and benchmarks. Your contributions will be critical to our success in delivering high-quality features to our customers.
- 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.
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Machine Learning Data Scientist, Productivity Apps
Apple
Machine Learning Data Scientist, Productivity Apps
Job Description
At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! 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. As a Senior Machine Learning Data Scientist, you will be working alongside our world-class creatives, designers, scientists, and engineers to help innovate in the productivity space in ways that only Apple can. This is a highly visible, highly impactful opportunity! As a Machine Learning Data Scientist, you’ll be responsible for providing actionable insights to our research and post training teams that drive improvements to our core metrics and benchmarks. Your contributions will be critical to our success in delivering high-quality features to our customers.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 45,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- At least 3 years experience with each of the following: (experience, 3 years)
- Contributing actionable insights to drive performance improvements in production environments. (experience)
- Statistical analysis and modeling, including correlation analysis, clustering methods, probability theory, principal component analysis, outlier detection, and data visualization. (experience)
- Using ML approaches for statistical analysis. (experience)
- Bachelor’s degree required in Computer Science, Machine Learning, Statistics fields, or a related subject area, or we may consider an equivalent industry experience. (experience)
- Ability to distill complex data analysis into clear, user-focused recommendations and visualizations that drive product enhancements. (experience)
- Proficiency with Python and numeric/statistical libraries like pandas, numpy, scipy, etc. (experience)
- Strong English communication skills (both written and verbal). (experience)
Preferred Qualifications
- MS or PhD in Computer Science, Machine Learning, Statistics fields, or a related subject area. (degree in phd in computer science)
- Understanding of how modern deep learning models work and how they’re applied to solve user problems. (experience)
- Experience with distributed computing frameworks (e.g., Spark, Hadoop) for large-scale data processing. (experience)
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and ML deployment tools. (experience)
Responsibilities
- As a Machine Learning Data Scientist, you’ll be responsible for providing actionable insights to our research and post training teams that drive improvements to our core metrics and benchmarks. Your contributions will be critical to our success in delivering high-quality features to our customers.
- 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.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Data Scientist, Productivity Apps @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs