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!
DescriptionAs 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 a 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 setting expectations with others under uncertainty.Building necessary tools to analyze traffic and increase the usability of our systems.Minimum QualificationsBS in Computer Science, Machine Learning, or related fields and 5+ years post-grad experience in a related role.Strong programming skills in Python, with experience in ML frameworks such as TensorFlow or PyTorch.Experience with serving and deploying ML models at scale.Proficiency in working with SQL/NoSQL databases.Proficiency in Scala, Java, and/or C++.Excellent problem-solving and analytical skills, valuing a scientific approach by using experimentation and critical thinking to drive and validate high-quality results.Excellent communication skills and ability to adapt quickly in a dynamic, fast-paced environment.Preferred QualificationsMS plus 4 years post-grad work experience or PhD plus 2 years post-grad experience in Computer Science, Machine Learning, or related fields.Consistent record in machine learning, validated through relevant industry experiences and/or publications in premier conferences or journals.Experience with large-scale data processing systems (e.g., Spark, Hadoop, Cassandra, Kafka).Experience with geospatial data analysis and modeling or transportation science.Domain expertise in transportation, navigation, or time series prediction.Experience with cloud technologies and distributed systems.Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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