Machine Learning Engineer - Apple Maps Navigation at Apple

Zurich, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

0.0

Posted On

09 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Traffic Predictions, Navigation Systems, Statistical Modeling, Python, ML Frameworks, Problem Solving, Analytical Skills, Scala, Java, C++, SQL, NoSQL, Data Processing, Geospatial Data Analysis, Cloud Technologies

Industry

Computers and Electronics Manufacturing

Description

Join the Apple Maps team and help shape the future of navigation for hundreds of millions of users worldwide! We are seeking a dedicated ML Engineer to revolutionize our traffic predictions and navigation systems. Your work will directly impact how people move through their world, making their journeys more efficient and enjoyable. This is an ideal position for an engineer with a strong background in supervised, unsupervised, and deep learning techniques who possesses deep intuition and experience in applying statistical modeling techniques to user facing products. If you're passionate about applying ground breaking machine learning techniques to solve sophisticated, real-world problems at a global scale, this is your opportunity to make a difference! DESCRIPTION As an ML Engineer on the Apple Maps Navigation team, you'll be at the forefront of developing and optimizing machine learning models that 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. 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. Your responsibilities will include prototyping domain-specific algorithms, rapidly evaluating their quality and leading the production implementation effort. Our collaborative environment encourages knowledge sharing and provides opportunities to work on various aspects of Apple Maps. MINIMUM QUALIFICATIONS BS in Computer Science, Machine Learning, or related fields Strong programming skills in Python, with experience in ML frameworks such as PyTorch or Tensorflow Experience with serving and deploying ML models at scale 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 MS/PhD or equivalent experience in Computer Science, Machine Learning, or related fields Proficiency in Scala, Java, and/or C++ Proficiency in working with SQL/NoSQL databases Excellent communication skills and ability to adapt quickly in a dynamic, fast-paced environment Consistent record in machine learning, validated through relevant industry experiences and/or publications in premier conferences or journals Experience with large-scale data processing systems (e.g., Spark, Hadoop) Experience with geospatial data analysis and modeling or transportation science Domain expertise in transportation, navigation, or time series prediction Experience with cloud technologies and distributed systems

Responsibilities

Develop and optimize machine learning models for traffic predictions and navigation products. Collaborate with a multi-functional team to set the future direction of Apple Maps.