ML Engineer - Maps Navigation
Apple
Software Engineering, Data Science
Cupertino, CA, USA
Posted on Mar 17, 2026
Helping people travel safely is one of our primary functions here on Apple Maps. We are the traffic team at Apple Maps and our main mission is to deliver accurate travel times and incidents for the world in realtime. We want to make sure that our recommendations are as accurate and responsive to external factors as possible, and we are looking for a machine learning engineer to help us provide the most accurate and reliable navigation experience possible!
As a Machine Learning Engineer on our team you'll develop and optimize machine learning models which power our traffic predictions and navigation products. Your work will ensure that Apple Maps provides the most accurate and reliable navigation experience possible, while handling and working with high volumes of live and historical data. On our team, you'll be part of a dynamic, multi-functional team of software and ML engineers, data scientists, and traffic experts to help set the future direction of our products. Your responsibilities will include prototyping domain-specific algorithms, and rapidly evaluating their quality and leading the production implementation effort.
- 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
- Communicating timelines and setting expectations with others under uncertainty
- MS in Computer Science, Machine Learning, or related fields plus 5 years of experience.
- Strong programming skills in Python, with experience in ML frameworks such as PyTorch or Tensorflow
- Experience with serving and deploying ML models at scale using various tools such as Spark, Hadoop, etc.
- Excellent problem solving and analytical skills, valuing a scientific approach by using experimentation and critical thinking to drive and validate high-quality results
- PhD
- Proficiency in Scala, Java, and/or C++
- Proficiency in working with SQL/NoSQL databases
- Consistent record of deploying ML solutions validated through relevant industry experiences and/or publications in premier conferences or journals
- Experience with geospatial data analysis and modeling
- Domain expertise in transportation, navigation, or time series prediction
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.