Job Details

Weekly Hours: 40

Role Number: 200650860-0836

Summary

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!

Description

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.

Minimum Qualifications

• 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

Preferred Qualifications

• 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .