Software Engineer - Apple Maps, Traffic
When will rush hour start tomorrow? How long will it take for a traffic jam to clear up? How is my route affected by a road closure? 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 our features and functionalities are relevant and accurate, while handling and working with high volumes of live and historical data.
As our team member, you will improve our customers' navigation experiences, and your contributions will positively impact travelers worldwide.
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. Our team members collaborate with engineers, data scientists, and traffic authorities to build and enhance our systems that power our traffic production models. This role will inspire you to use your passion for detecting and rectifying data anomalies to create more meaningful data models and recommendations. We are a distributed team based in Zurich, Switzerland, and Cupertino, California. As we support a production system, occasional work outside standard business hours may be required.
- MS or Phd in Computer Science or a quantitative field
- Programming experience with a typed-language like Java, Scala and/or C++
- Experience with Python and common data science libraries
- Strong background in algorithms and ability to tackle complex challenges, think critically, and develop innovative algorithms
- Proven experience in working with very large-scale real-time data
- Familiarity with at least one major database technology (RDBMS or NoSQL)
- Experience in building large-scale data pipelines, possibly using Spark or Flink
- Shown experience in production data and/or services environments
- 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
- Excellent communication skills with shown experience working with multi-disciplined and multi-functional teams is highly desired
- Experience with working on cloud-based infrastructure (preferably Kubernetes)
- Experience with location data a plus
- Front-end experience a plus