Machine Learning Engineer – Apple Maps Navigation Full-time

Summary
Join the Apple Maps team and help shape the future of navigation for hundreds of millions of users worldwide! We are seeking a dedicated Machine Learning Engineer to join our traffic predictions and navigation systems team. Your work will directly impact how people move through their world, making their journeys more efficient and enjoyable. If you’re passionate about using machine learning techniques to tackle sophisticated, real-world problems at a global scale, this is your opportunity to make a difference!

Description
As an ML Engineer on the Apple Maps Navigation team, you’ll be at the forefront of developing and optimizing machine learning models that power our traffic predictions and navigation products. Your work will ensure that Apple Maps provides the most accurate and reliable navigation experience possible.

You’ll be part of a dynamic, multi-functional team of software and ML engineers, data scientists, and traffic experts. Our collaborative environment encourages knowledge sharing and provides opportunities to work on various aspects of Apple Maps.

Key responsibilities may include but are not limited to:

– Designing, implementing, and maintaining algorithms and ML models for traffic prediction to support navigation decisions

– Creating new technical capabilities that serve as building blocks for new and improved features that surprise and delight our customers

– Working across multiple engineering, data science, UX, and product teams to help set the future direction of the product

– Collaborating with data engineers to process and analyze extensive streams of location data in privacy-preserving fashion

– Developing and improving ML pipelines for model training, evaluation, and deployment in real-time and batch environments

– Continuously monitoring and improving model performance through experimentation and analysis

– Leading the iterative and data-driven research and exploration of new approaches for existing or new areas of consideration

– Owning the investigation and resolution of high product impact issues

– Communicating timelines and set expectations with others under uncertainty

– Building necessary tools to analyze traffic and increase the usability of our systems