As an ML Engineer on the Apple Maps Navigation team youll 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 while handling and working with high volumes of live and historical data. Youll work as part of a dynamic multi-functional team of software and ML engineers data scientists and traffic experts to help set the future direction of the product. Your responsibilities will include prototyping domain-specific algorithms rapidly evaluating their quality and leading the production implementation effort. Our collaborative environment encourages knowledge sharing and provides opportunities to work on various aspects of Apple Maps.
- BS in Computer Science Machine Learning or related fields
- Strong programming skills in Python with experience in ML frameworks such as PyTorch or Tensorflow
- Experience with serving and deploying ML models at scale
- Excellent problem solving and analytical skills valuing a scientific approach by using experimentation and critical thinking to drive and validate high-quality results
- MS/PhD or equivalent experience in Computer Science Machine Learning or related fields
- Proficiency in Scala Java and/or C
- Proficiency in working with SQL/NoSQL databases
- Excellent communication skills and ability to adapt quickly in a dynamic fast-paced environment
- 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)
- 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
As an ML Engineer on the Apple Maps Navigation team youll 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 ...
As an ML Engineer on the Apple Maps Navigation team youll 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 while handling and working with high volumes of live and historical data. Youll work as part of a dynamic multi-functional team of software and ML engineers data scientists and traffic experts to help set the future direction of the product. Your responsibilities will include prototyping domain-specific algorithms rapidly evaluating their quality and leading the production implementation effort. Our collaborative environment encourages knowledge sharing and provides opportunities to work on various aspects of Apple Maps.
- BS in Computer Science Machine Learning or related fields
- Strong programming skills in Python with experience in ML frameworks such as PyTorch or Tensorflow
- Experience with serving and deploying ML models at scale
- Excellent problem solving and analytical skills valuing a scientific approach by using experimentation and critical thinking to drive and validate high-quality results
- MS/PhD or equivalent experience in Computer Science Machine Learning or related fields
- Proficiency in Scala Java and/or C
- Proficiency in working with SQL/NoSQL databases
- Excellent communication skills and ability to adapt quickly in a dynamic fast-paced environment
- 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)
- 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
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