Experienced Machine Learning Engineer for Online Retail Decision Automation - Apple Store Online Team

Join the Team Revolutionizing the Future of Retail with AI At Apple, we're not just creating products - we're crafting experiences that transform industries. Our diversity is the driving force behind the innovation that permeates every aspect of our work, from groundbreaking technology to pioneering environmental initiatives. As a Machine Learning Engineer on our Apple Store Online team, you'll be at the forefront of developing the next generation of algorithms that power the Apple Online experience, shaping the future of retail for millions of customers worldwide. About the Role We're seeking a passionate, highly motivated, and hands-on Machine Learning Engineer to lead our Online Retail Decision Automation team. This role will be responsible for researching and developing cutting-edge algorithms that drive the Apple Online Store experience, including product search, recommendation systems, personalization, Generative AI, and optimizing Apple-wide systems & infrastructure. As a member of our fast-paced team, you'll have the opportunity to be part of new projects and craft upcoming products that will delight and encourage millions of Apple's customers every day. Key Responsibilities Collaborate with other Machine Learning Engineers to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment. Contribute to the ongoing improvement of our ML infrastructure and tooling, ensuring the highest level of efficiency and effectiveness. Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering to drive innovation and excellence. Mentor other Machine Learning Engineers and lead efforts to build scalable end-to-end machine learning solutions for our retail customers. Minimum Qualifications To be successful in this role, you'll need: 5+ years of related experience, including 2+ years of experience in machine learning, with a strong background in developing and deploying ML models. Proficiency in one or more object-oriented programming languages, such as Python, Java, or C++, and experience building highly scalable distributed systems. End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies (e.g., Spark, SQL, Snowflake/Hadoop). A deep understanding of the machine learning model lifecycle, from prototyping and feature engineering to training, inference, deployment, monitoring, and continuous improvement via deep analysis. Preferred Qualifications To stand out in this role, you'll ideally have: A Ph.D. or Master's degree in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience. Experience in Recommender Systems, Personalization, Search, Computational Advertising, or Natural Language Processing, including RAG-based Generative AI and transformer architecture. Excellent communication, problem-solving, and critical thinking skills, with the ability to collaborate effectively with cross-functional teams. Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real-world applications. Familiarity with Spark, TensorFlow, Keras, and PyTorch, with a strong understanding of their applications and limitations. What We Offer At Apple, we're committed to fostering a culture of inclusion and diversity, where everyone belongs and is inspired to do their best work. As a Machine Learning Engineer on our team, you'll have the opportunity to: Work on cutting-edge projects that drive the future of retail and shape the Apple Online experience. Collaborate with talented professionals from diverse backgrounds and disciplines. Develop your skills and expertise in a fast-paced, dynamic environment. Enjoy a competitive salary and benefits package, with opportunities for growth and advancement. Be part of a company that's committed to making a positive impact on the environment and society. Our Culture At Apple, we believe that our differences are our greatest strength. We're committed to creating an inclusive and diverse work environment, where everyone feels valued, respected, and empowered to contribute their best work. As an equal opportunity employer, we welcome applications from individuals of all backgrounds, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Ready to Join Us? If you're a motivated and passionate Machine Learning Engineer looking to make a real impact, we want to hear from you. Apply now to join our team and be part of shaping the future of retail with AI! Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. Apply for this job