Machine Learning Engineer

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. The Product Operations machine learning team is seeking an Applied Scientist in data mining and machine learning to conduct research in anomaly detection and automated machine learning to address domain-specific challenges in manufacturing multi-modal data.

As an Applied Scientist, you'll be part of a small team at the heart of our manufacturing ML capabilities. Our R&D team is responsible for the core ML libraries that engineers use to train models for factory deployment. We improve core capabilities through applied research, with partners in academia and across Apple's research org.

Your responsibilities will include:

• Driving research from ideation to impact
• Working closely with manufacturing machine learning engineers worldwide
• Proposing and executing promising approaches
• Collaborating with internal and academic research partners
• Integrating successful research into robust pipelines
• Training MLEs to apply novel approaches in the field

We're looking for self-motivated, experienced researchers who are quick to build relationships and want to do impactful applied research. You should have expertise in machine learning areas such as weakly- and semi-supervised learning, domain adaptation, data efficiency, knowledge distillation, and tabular foundation models.

This is an opportunity to work on cutting-edge ML research while directly impacting Apple's manufacturing processes. You'll be supported by comprehensive benefits including medical coverage, stock options, education reimbursement, and more. Join us in creating the next generation of manufacturing ML capabilities at Apple.