ML Engineer - Maps Navigation
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- Prototyping domain-specific algorithms
- Evaluating quality of algorithms
- Leading the production implementation effort
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
