Machine Learning Engineer - Apple Store Online
Apple · Corporate Functions
Apply ↗Skills
["C++""Go""Java""Machine Learning""Python""SQL""Scala""Snowflake""Spark"]Technology stack
{"programming_languages": ["Python""Java""Go""Scala""C++""SQL"]"frameworks": ["Spark"]"databases": ["Snowflake"]"cloud": []"infrastructure": []"data_tools": []"ai_ml": ["Machine Learning"]"other_tools": []}Description
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
Requirements
["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: Experience building data processing pipelines and large scale machine learning platforms with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc", "Preferred: Experience operationalizing distributed applications", "Preferred: Experience building full stack applications for big data analysis, feature extraction and annotations"]
Roles & responsibilities
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