Machine Learning Engineer

2 months ago


Cupertino, United States Apple Full time

Machine Learning Engineer - Apple Maps Navigation

Cupertino, California, United States

Software and Services

Join the Apple Maps team and help shape the future of navigation for hundreds of millions of users worldwide We are seeking a dedicated Machine Learning Engineer to join our traffic predictions and navigation systems team. Your work will directly impact how people move through their world, making their journeys more efficient and enjoyable. If you're passionate about using machine learning techniques to tackle sophisticated, real-world problems at a global scale, this is your opportunity to make a difference

Description

As an ML Engineer on the Apple Maps Navigation team, you'll 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. You'll be part of a dynamic, multi-functional team of software and ML engineers, data scientists, and traffic experts. Our collaborative environment encourages knowledge sharing and provides opportunities to work on various aspects of Apple Maps. Key responsibilities may include but are not limited to:

  1. Designing, implementing, and maintaining algorithms and ML models for traffic prediction to support navigation decisions
  2. Creating new technical capabilities that serve as building blocks for new and improved features
  3. Working across multiple engineering, data science, UX, and product teams to help set the future direction of the product
  4. Collaborating with data engineers to process and analyze extensive streams of location data in a privacy-preserving fashion
  5. Developing and improving ML pipelines for model training, evaluation, and deployment in real-time and batch environments
  6. Continuously monitoring and improving model performance through experimentation and analysis
  7. Leading the iterative and data-driven research and exploration of new approaches
  8. Owning the investigation and resolution of high product impact issues
  9. Communicating timelines and set expectations with others under uncertainty
  10. Building necessary tools to analyze traffic and increase the usability of our systems
Minimum Qualifications
  • BS in Computer Science, Machine Learning, or related fields and 5+ years post-grad experience in a related role
  • Strong programming skills in Python, with experience in ML frameworks such as TensorFlow or PyTorch
  • Experience with serving and deploying ML models at scale
  • Proficiency in working with SQL/NoSQL databases
  • Proficiency in Scala, Java, and/or C++
  • Excellent problem-solving and analytical skills
  • Excellent communication skills and ability to adapt quickly in a dynamic, fast-paced environment
Preferred Qualifications
  • MS plus 4 years post-grad work experience or PhD plus 2 years post-grad experience in Computer Science, Machine Learning, or related fields
  • Consistent record in machine learning, validated through relevant industry experiences and/or publications
  • Experience with large-scale data processing systems (e.g., Spark, Hadoop, Cassandra, Kafka)
  • 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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