Senior Machine Learning Engineer

Austin, Texas, United States Corporate Functions

We are looking for a passionate, highly motivated, and hands‑on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by researching and developing the next generation of algorithms used to drive the Apple Online experience. The role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimizing Apple‑wide systems & infrastructure.

As a member of the fast‑paced team, you will have the opportunity to work on new projects and craft products that delight and encourage millions of Apple customers every day.

To be successful, candidates will need a machine learning background, proven software development skills, and a love of learning. They will also need to collaborate with multi‑functional teams, including researchers, engineers, data scientists/analysts, and product managers, to develop and implement machine learning algorithms and testing workflows.

• Collaborate with other MLEs 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.
• Engage in continuous learning and development, staying up‑to‑date with the latest advances in machine learning and software engineering.
• Mentor junior MLEs on the team to ensure best practices are followed.

• Bachelor’s degree in Computer Science, Statistics, Mathematics with equivalent experience.
• 5+ years of related experience building high‑throughput scalable applications or building machine learning models.
• Proficiency in one or more object‑oriented programming languages such as Python, Java, C++ and experience building distributed systems.
• Experience building data processing pipelines and large‑scale machine learning systems with big data technologies like Spark, SQL, Snowflake/Hadoop, etc.
• Skilled in communication, problem solving, critical thinking, attention to detail and data accuracy and quality of output.

• PhD or graduate degree with research/work experience using data science techniques (including but not limited to Computer Science, Statistics, Mathematics, etc).
• Experience in recommender systems, personalization, search, computational advertising or natural language processing including RAG‑based Generative AI and transformer architecture.
• Skilled in communication, problem solving, critical thinking.
• Experience using deep learning, bandits, probabilistic graphical models, or reinforcement learning in real applications is a plus.
• Experience with Spark, Tensor Flow, Keras, and PyTorch is a plus.

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.