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!

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. ","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

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

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

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 .

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.