Machine Learning Engineer - Apple Store Online

To be successful, you need a strong machine learning background, proven software development skills, a love of learning, and to collaborate with cross-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to develop and implement machine learning algorithms. You’ll mentor other MLE’s and lead an effort to build scalable end-to-end machine learning solutions for our retail customers Minimum Qualifications 3+ years of related experience building high throughput scalable applications or building machine learning models Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems Skilled in communication, problem solving, strategic thinking Bachelors in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience Preferred Qualifications Experience building data processing pipelines and large scale machine learning platforms with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc Experience operationalizing distributed applications Experience building full stack applications for big data analysis, feature extraction and annotations