ML Engineer - Maps Navigation

Cupertino, CA, US • Posted 14 hours ago • Updated 1 hour ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Real-time
  • Prototyping
  • Algorithms
  • Computer Science
  • Python
  • PyTorch
  • TensorFlow
  • Apache Spark
  • Apache Hadoop
  • Problem Solving
  • Conflict Resolution
  • Analytical Skill
  • Critical Thinking
  • Scala
  • Java
  • C++
  • SQL
  • NoSQL
  • Database
  • Machine Learning (ML)
  • Publications
  • Geospatial Analysis
  • Data Analysis
  • Modeling
  • Time Series

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. \\n\\nWe 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! \\n

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.

MS in Computer Science, Machine Learning, or related fields plus 5 years of experience. \nStrong programming skills in Python, with experience in ML frameworks such as PyTorch or Tensorflow\nExperience with serving and deploying ML models at scale using various tools such as Spark, Hadoop, etc. \nExcellent problem solving and analytical skills, valuing a scientific approach by using experimentation and critical thinking to drive and validate high-quality results

PhD \nProficiency in Scala, Java, and/or C++\nProficiency in working with SQL/NoSQL databases\nConsistent record of deploying ML solutions validated through relevant industry experiences and/or publications in premier conferences or journals\nExperience with geospatial data analysis and modeling \nDomain expertise in transportation, navigation, or time series prediction
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 96ea046bcbb10676010aa3b83a6338cb
  • Posted 14 hours ago
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