Senior ML Engineer, Online Store Personalization

Apple Retail Shop; Austin (CO); On-site; USD 140,000 - 190,000; Full time

Job summary

Apple is seeking a passionate, highly motivated Senior Machine Learning Engineer to join the Online Retail Decision Automation team. You will research and develop next‑generation algorithms powering the Apple Online experience, spanning product search, recommendations, personalization, Generative AI, and scalable AI infrastructure.

Collaborate with researchers, engineers, data scientists, and product managers to deliver production ML solutions, mentor teammates, and stay at the forefront of ML

Qualifications

• 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 experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.
• Skilled in communication, problem solving, and attention to detail.

Responsibilities

• Collaborate with other MLEs to build scalable, production‑ready ML solutions, taking algorithms from initial concept through to deployment.
• Give 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.

Skills

Python

Java

C++

Distributed systems

Data pipelines

Education

Bachelor's degree in CS/Statistics/Math

Tools

Spark

SQL

Snowflake

Hadoop

TensorFlow

Keras

PyTorch

Job description

Apple is seeking a passionate, highly motivated Senior Machine Learning Engineer to join the Online Retail Decision Automation team. You will research and develop next‑generation algorithms powering the Apple Online experience, spanning product search, recommendations, personalization, Generative AI, and scalable AI infrastructure.

Collaborate with researchers, engineers, data scientists, and product managers to deliver production ML solutions, mentor teammates, and stay at the forefront of ML