Machine Learning Engineer • Senior

Who you are

You have a strong background in software engineering with a focus on applied machine learning, ideally holding an MS or Ph.D. in Computer Science, Electrical Engineering, or a related field. With over 3 years of experience, you are proficient in C++ and have a solid understanding of Objective-C or Swift development. Your expertise extends to complex, multi-threaded systems, where you have tackled synchronization and debugging challenges effectively.

You possess a working knowledge of Python, particularly in the context of machine learning, and are comfortable analyzing and visualizing data to derive insights. Your experience spans low-level systems programming to high-level ML model implementation, showcasing your versatility in the software development lifecycle. You thrive in collaborative environments, working closely with multidisciplinary teams to deliver impactful solutions.

Desirable

Experience with real-time systems and sensor data processing is a plus, as is familiarity with advanced threading issues. You are eager to bridge the gap between cutting-edge ML research and robust production systems, contributing to features that enhance user health and fitness experiences.

What you'll do

In this pivotal role, you will architect and implement complex systems for sensor data processing, translating advanced ML research into optimized, high-performance production algorithms. Your work will involve analyzing and visualizing data to drive profound insights, ensuring that the systems you develop are reliable and performant at Apple's scale.

You will collaborate closely with ML engineers and scientists, engaging throughout the entire software lifecycle to deliver best-in-class systems that impact millions of users daily. Your responsibilities will include maintaining sophisticated system software with multi-threading and real-time constraints, ensuring that the infrastructure you build supports the innovative features of Apple products.

You will also be involved in debugging complex issues and optimizing algorithms for performance, contributing to the overall success of the Applied Sensing & Health team. Your role will require you to stay updated with the latest advancements in machine learning and systems programming, applying this knowledge to enhance the capabilities of Apple's health and fitness features.

What we offer

Apple offers a dynamic work environment where innovation is at the forefront. You will have the opportunity to work on groundbreaking technology that impacts the health and fitness of users worldwide. The company values collaboration and encourages you to apply even if your experience doesn't match every requirement. You will be part of a team that is committed to pushing the boundaries of what's possible in technology, making a real difference in people's lives.