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  3. ML Engineer - Maps Navigation

ML Engineer - Maps Navigation

Apple
Posted 2 months ago, valid for 20 days
Location

Cupertino, CA 95015, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Apple Maps is seeking a Machine Learning Engineer to enhance travel safety by developing and optimizing models for traffic predictions and navigation products.
  • The role requires a Master's degree in Computer Science or a related field with a minimum of 5 years of experience in machine learning.
  • Candidates should have strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow, as well as deploying models at scale.
  • The position involves collaborating with a multi-functional team and requires excellent problem-solving skills and a scientific approach to experimentation.
  • Salary details were not specified in the job description.
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


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