Software Engineer

Summary Posted: Nov 2, 2023 Role Number: 200516178 At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Do you love problem solving and thinking beyond an obvious solution? Do you thrive in ambiguity and teams where little direction should fuel your creativity? We are looking for experienced data scientists/machine learning engineers 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. As a member of this team, you will use your deep understanding of forecasting, machine learning, and deep learning to take on substantial technical problems. Key Qualifications Key Qualifications Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts. Thorough understanding of common machine/deep learning algorithms and practical experience in one or more of the following areas: time series forecasting, anomaly detection, convex optimzation, computer vision, NLP, recommendation system and Auto ML Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java Ability to comprehend and debug complex systems integrations spanning toolchains and teams Ability to extract meaningful business insights from data and identify the stories behind the patterns Creativity to engineer novel features and signals, and to push beyond current tools and approaches Excellent verbal and written communication skills, in both Mandarin Chinese and English Ph.D. in Computer Science, Machine Learning, Statistics, Operations Research or related field; or Ph.D. 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 Description Description • Engage with others to find opportunities, understand requirements, and translate those requirements into technical solutions • Design data science/machine learning approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem • Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions • Ensure operational and business metric health by monitoring production decision points • Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes • Communicate results of analyses to business partners and executives • Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team Education & Experience Education & Experience Additional Requirements Additional Requirements