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: - Designing, implementing, and maintaining algorithms and ML models for traffic prediction to support navigation decisions- Creating new technical capabilities that serve as building blocks for new and improved features that surprise and delight our customers- Working across multiple engineering, data science, UX, and product teams to help set the future direction of the product- Collaborating with data engineers to process and analyze extensive streams of location data in privacy-preserving fashion- Developing and improving ML pipelines for model training, evaluation, and deployment in real-time and batch environments- Continuously monitoring and improving model performance through experimentation and analysis- Leading the iterative and data-driven research and exploration of new approaches for existing or new areas of consideration- Owning the investigation and resolution of high product impact issues- Communicating timelines and set expectations with others under uncertainty- 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, valuing a scientific approach by using experimentation and critical thinking to drive and validate high-quality results
  • Excellent communication skills and ability to adapt quickly in a dynamic, fast-paced environment

Key Qualifications

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 in premier conferences or journals
  • 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

Education & Experience

Additional Requirements

Pay & Benefits

  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.

    Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

    Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.