As a Machine Learning Engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, collaborating with business, engineering, and analytics teams, to build large scaled recommendation system to recommend the best content, notifications and actions to our customers. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations. You will be responsible for application of AI/ML to various business problems to improve Atlassian Growth intelligence
Requirements:
Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience); 3+ years of Experience in machine learning domain; Expertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks); Experience building and scaling machine learning models in business applications using large amounts of data
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Machine Learning Engineer As a Machine Learning Engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, collaborating with business, engineering, and analytics teams, to build large scaled recommendation system to recommend the best content, notifications and actions to our customers. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations. You will be responsible for application of AI/ML to various business problems to improve Atlassian Growth intelligence Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience); 3+ years of Experience in machine learning domain; Expertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks); Experience building and scaling machine learning models in business applications using large amounts of data
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