Machine Learning Engineer • Senior

Who you are

You have extensive experience in machine learning and data engineering, with a strong focus on building scalable systems that process vast amounts of data. Your background includes working with machine learning frameworks and tools, and you have a deep understanding of natural language processing techniques. You thrive in collaborative environments and are passionate about transforming raw data into actionable insights that enhance user experiences.

You possess strong problem-solving skills and are adept at designing algorithms that can handle web-scale data extraction and enrichment. Your expertise in building and optimizing data pipelines is complemented by your ability to work with diverse data sources, ensuring high-quality knowledge representation.

What you'll do

In this role, you will be responsible for designing and implementing scalable extraction algorithms that power Apple’s intelligent experiences. You will work closely with cross-functional teams to develop advanced web data deduplication techniques and apply machine learning to process trillions of records. Your contributions will directly impact how users interact with Siri and other Apple products, making them smarter and more efficient.

You will also focus on optimizing the ML frameworks and tooling that underpin Apple’s knowledge and search systems. This includes building and maintaining the Knowledge Graph, integrating various data sources into a unified representation of world knowledge. Your work will involve collaborating with engineers and researchers to advance the capabilities of Apple’s machine learning platform technologies.

What we offer

Apple provides a dynamic work environment where innovation is encouraged, and your contributions can lead to extraordinary products and services. You will have the opportunity to work on groundbreaking technology that impacts millions of users worldwide. We value diversity and inclusion, and we encourage you to apply even if your experience doesn't match every requirement. Join us in redefining how people use technology in their daily lives.