ML Engineer - Maps Navigation

ML Engineer - Maps Navigation

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!

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.

Responsibilities

• 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
• Communicating timelines and setting expectations with others under uncertainty

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

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 $181,100 and $318,400, 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 seek to promote 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 At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace Learn about reasonable accommodations for job applicants Apple accepts applications to this posting on an ongoing basis.