Camera Machine Learning - Data Scientist

Apple delivers the most popular cameras in the world. Each product release provides breakthroughs in photography with stunning camera features that customers love. Our cameras deploy imaging complexity at the frontier of traditional camera engineering methods. Data volumes are growing to meet this need across camera simulations, performance calibrations, measurement results, and their correlations. Our need to incorporate perception and product decision-making into this data through analytics, pattern finding, prediction models, correlations, and rapid data visualizations is critical to continue delivering the most amazing experiences for our customers.

As a Data Scientist, your work will build on our powerful data engineering platform and custom team tools by applying data science, meaningful insights, and related data innovations directly to our shipping camera products and teams.

• Your work shows your enthusiasm for the simulation, design, and the engineering phase of Apple camera products and fuels our data-driven decisions.
• Your work includes: applied data science, including machine learning on high-volume product performance data with innovations in predictions and anomaly detections, multi-modal correlations, direct image analysis, and data visualizations.
• Your work will continue to develop and deploy tools for ongoing analysis, discovery, and detecting performance anomalies or artifacts in camera products and opportunities for design and product performance improvements.
• With your experience applying data to camera products, the data engineering platform and its analysis tools will define further required features and performance specifications, providing direction for its development teams.

• BS in physics, computer science, optics, image science, electrical engineering, data engineering, data science, or related fields and a minimum 10 years of relevant industry experience
• Experience in data analysis and hardware performance metrics
• Experience in data visualization techniques or dashboard creation
• Experience coding in Python

• MS or PhD in physics, computer science, optics, image science, electrical engineering, data engineering, data science, or related fields
• Experience with ML development for image science applications, PCA, predictions, and trends
• Experience developing and/or using large-scale deployed data pipelines
• Experience in applied computer vision methods
• Experience in cloud engineering tools such as AWS, Snowflake, or similar
• Experience developing and /or using modern database technologies, including PostgreSQL, MongoDB
• Experience in optical sensing concepts and understanding of related performance metrics
• Experience with presenting data to Sr. management

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.