Senior Machine Learning Engineer - Maps Traffic

Apple • Cupertino, CA

1d

About The Position

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.

Requirements

• BS in Computer Science or a quantitative field plus at least 8 years of production level development and machine learning experience.
• 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

Nice To Haves

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level