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Position: Lead Principal Machine Learning Software Engineer
Institution: Atlassian
Location: San Francisco, California, United States
Duties: As a Lead Principal Machine Learning Software Engineer, your role will be instrumental in steering the development and deployment of advanced machine learning algorithms. You will be tasked with training complex models and working in close collaboration with product, back end/front end engineering, and analytics teams to seamlessly integrate AI functionalities into every Atlassian product and service. Your day-to-day responsibilities will span a wide range of tasks, including designing system and model architectures, conducting meticulous experimentation and model evaluations, and mentoring budding ML engineers. Your role extends beyond these tasks, playing a crucial part in harnessing the transformative power of AI across our product suite
Requirements: Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience); 15+ years of related industry experience in the data science domain; Expertise in Python or Java 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
   
Text: Lead Principal Machine Learning Software Engineer As a Lead Principal Machine Learning Software Engineer, your role will be instrumental in steering the development and deployment of advanced machine learning algorithms. You will be tasked with training complex models and working in close collaboration with product, back end/front end engineering, and analytics teams to seamlessly integrate AI functionalities into every Atlassian product and service. Your day-to-day responsibilities will span a wide range of tasks, including designing system and model architectures, conducting meticulous experimentation and model evaluations, and mentoring budding ML engineers. Your role extends beyond these tasks, playing a crucial part in harnessing the transformative power of AI across our product suite Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience); 15+ years of related industry experience in the data science domain; Expertise in Python or Java 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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