When will rush hour start tomorrow? How long will it take for a traffic jam to clear up? We believe these questions are important to millions of people around the world, and we strive to answer them for you!
Helping people navigate around the globe is one of our primary functions here on the Apple Maps team. 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. We are looking to hire a Software Engineer to help us 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.
As our team member, your work will directly impact how people move through their world, making their journeys more efficient and enjoyable
Description
Our team drives the designs, crafts the solutions, and evaluates the systems that accurately process massive streams of location data. As part of our team, you will enhance the quality of our traffic solutions, invent features and functionality, all while improving the experiences of millions of users each and every single day. As a traffic software engineer, you will be a key member of our team designing, implementing, and evaluating models which process huge amounts of GPS and sensor data. You will make substantial contributions towards the scalability and resilience of our core systems to ensure they work seamlessly across different execution contexts from real-time analysis to batch processing. Your role will expand into data science and ML as we build innovative solutions for future traffic challenges. You'll work as part of a dynamic, multi-functional team of software and ML engineers, data scientists, and traffic experts to help set the future direction of the product. We are a distributed team based in different parts of the world, and as such we support a production system with occasional work outside standard business hours.
Minimum Qualifications
BS in Computer Science or a quantitative field plus at least 6 years of production level experience or expertise.
Programming experience with a typed-language like Java, Scala and/or C++
Proficiency in working with SQL/NoSQL databases
Strong background in algorithms and ability to tackle complex challenges, think critically, and develop innovative algorithms
Excellent communication skills and ability to adapt quickly in a dynamic, fast-paced environment
Preferred Qualifications
MS/PhD or equivalent experience in Computer Science or a quantitative field
Proven experience in working with very large-scale real-time data
Experience in building large-scale data pipelines, possibly using Spark or Flink
Experience with machine learning frameworks (e.g. PyTorch, TensorFlow) and model deployment a plus
Aptitude for learning independently; prototyping and proposing new software designs as a philosophy for delivering successful deployments
Experience with working on cloud-based infrastructure (preferably Kubernetes)
Experience with location data a plus
Front-end experience a plus
Eeo Content
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.
