Machine Learning Engineer

SummaryPosted: May 26, 2025Role Number:200328148-0351Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized industries. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to develop a culture where everyone belongs and is inspired to do their best work. People here at Apple don't just build products; we craft the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspire the innovation that runs through everything we do, from extraordinary technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple's Channel Sales team in Greater China is responsible for the development and implementation of all indirect sales efforts for Apple's full product offerings in China, HK, and Taiwan. To continue growing our GC business, we're looking experienced engineers / data scientists with a passion for using machine learning to transform people's life by innovating on intelligent user experiences to join our Analytics & Optimizations on the Sales Analytics Team in China. In this position, you won't just implement solutions-you'll shape strategies, drive innovation, and elevate industry standards. Your work will empower businesses, optimize performance, and unlock new possibilities for growth. If you're ready to challenge yourself, expand your expertise, and contribute to a high-impact team, we'd love to hear from you!DescriptionCollaborate & Innovate - Work closely with cross-functional teams to identify opportunities, gather requirements, and transform challenges into scalable technical solutions. Design Advanced Models - Develop state-of-the-art data science and machine learning approaches, leveraging proven methodologies or creating custom algorithms tailored to business needs. Build Robust Systems - Partner with data engineers and platform architects to implement high-performance, real-time and batch decisioning solutions. Communicate Insights - Present findings to business stakeholders and executives, ensuring data-driven strategies translate into meaningful business outcomes. Explore & Evolve - Stay at the forefront of technological advancements by researching new techniques across data science, engineering, and visualization to continuously refine the team's capabilities.Minimum QualificationsCommunication & Presentation: Superior verbal and written communication and presentation skills, ability to convey meticulous mathematical concepts and considerations to non-experts.Machine Learning: Understanding of common machine/deep learning algorithms and practical experience in one or more of the following areas: time series forecasting, anomaly detection, convex optimization, computer vision, NLP, LLM, recommendation system and Auto MLDatabases: Solid understanding of relational databases, including SQL, and large-scale distributed systems such as Hadoop and SparkProgramming language: Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or JavaPreferred QualificationsInsight: Ability to extract meaningful business insights from data and identify the stories behind the patternsCreativity: to engineer novel features and signals, and to push beyond current tools and approachesBilingual: Excellent verbal and written communication skills, in both Mandarin Chinese and EnglishEducation & ExperiencePhD. in Computer Science, Machine Learning, Statistics, Operations Research or related field; or PhD. in Math, Engineering, Economics, or hard science with data science fellowship; or M.S. in related field with experience applying machine learning engineer to real business problems