Machine Learning Engineer

vor 2 Wochen

zürich, Schweiz Apple Vollzeit

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 differenceDescription 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 fieldsStrong programming skills in Python, with experience in ML frameworks such as PyTorch or TensorflowExperience with serving and deploying ML models at scaleExcellent problem solving and analytical skills, valuing a scientific approach by using experimentation and critical thinking to drive and validate high-quality resultsPreferred Qualifications MS/PhD or equivalent experience in Computer Science, Machine Learning, or related fieldsProficiency in Scala, Java, and/or C++Proficiency in working with SQL/NoSQL databasesExcellent communication skills and ability to adapt quickly in a dynamic, fast-paced environmentConsistent record in machine learning, validated through relevant industry experiences and/or publications in premier conferences or journalsExperience with large-scale data processing systems (e.g., Spark, Hadoop)Experience with geospatial data analysis and modeling or transportation scienceDomain expertise in transportation, navigation, or time series predictionExperience with cloud technologies and distributed systems

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