Apple · 4 hours ago
Machine Learning Engineer - Product Marketing Customer Analytics
Cupertino, CA
Full-time
Onsite
Senior Level, Lead/Staff
$212K/yr - $318K/yr
8+ years expApple is a company known for its innovative products and services, and they are seeking a Machine Learning Engineer to join their Product Marketing Customer Analytics team. The role involves supporting various teams with predictive analytics, developing scalable machine learning models, and managing ML projects through all phases to provide actionable insights into customer behavior.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Support Product Marketing, Investor Relations, and the Executive Team with predictive analytics for customer product and services engagement
Understand product requirements then translate them into modeling tasks and engineering tasks
Develop scalable ML algorithms and models to understand customer behavior and provide leadership with actionable insights and recommendations
Design and implement end-to-end machine learning pipelines—from feature engineering to model serving—using best in class MLOps frameworks
Develop and optimize deep learning and traditional ML solutions on high-volume datasets using GPU clusters or distributed CPU environments
Experiment with cutting-edge algorithms, providing advanced insights into customer behavior and engagement
Manage ML projects through all phases, including data quality, algorithm/feature development, predictive modeling, visualization, and deployment and maintenance
Tackle difficult, non-routine analysis/prediction problems, applying advanced ML methods as needed
Partner with peers to build and prototype analysis pipelines that provide insights at scale
Collaborate with data engineers and infrastructure partners to implement robust solutions and operationalize models
Enhance and evolve solutions to meet changing business needs with agility
Qualification
Required
8+ years of hands-on programming skills for large-scale data processing
Graduate degree required in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field
Preferred
Excellent understanding of analytical methods and machine learning algorithms including regression, clustering, classification, optimization, and other advanced analytic techniques
8+ years of proven experience building and scaling predictive models across distributed systems (eg: Spark, Kubernetes, GPU clusters), production model hosting, and handling end-to-end performance optimization to solve business problems
8+ years of hands-on programming skills (Python, and/or Spark) for large-scale data processing, deriving key insights, developing machine learning models on structured and unstructured data, and with demonstrated success maintaining robust, high-throughput ML pipelines in a production environment
Comfortable with advanced deep learning frameworks (Tensorflow, PyTorch) and adept at designing and scaling ML platforms that include feature stores, automated retraining pipelines and CI/CD integration
Able to design systems to handle high-volume ML workflows and implement scalable, fault-tolerant solutions
Solid technical database and data modeling knowledge (Oracle, Hadoop, SnowFlake), and experience optimizing SQL queries on large dataset for performance-critical analytics
Able to work effectively on ambiguous data and constructs within a fast-changing environment, tight deadlines and priority changes
Strong communication skills and ability to explain complex technical topics to both data science peers and non-technical business stakeholders, effectively presenting findings and recommendations to senior executives
Demonstrated success in partnering cross-functionally, guiding diverse technical teams, aligning business stakeholders, invested in collective success of teams and project outcomes
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