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Atlassian is seeking a Principal Machine Learning Engineer to join the Central AI team located in Bellevue WA. The Central AI organization constructs foundational AI infrastructure, data pipelines, frameworks, models, and capabilities to accelerate AI feature development across the company. The role is pivotal in advancing AI innovation, designing architectures, and collaborating cross-functionally to integrate AI into Atlassian products and services.
Job Responsibility:
Drive the development and implementation of cutting-edge machine learning algorithms
Train sophisticated models
Collaborate with product, engineering, and analytics teams to build the AI functionalities into Atlassian products and services
Design system and model architectures
Conduct rigorous experimentation and model evaluations
Provide guidance to emerging ML engineers
Requirements:
Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
5+ 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
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule
very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
Agile development mindset, appreciating the benefit of constant iteration and improvement
Nice to have:
Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
Experience in developing deep learning-based models and working on LLM-related applications
Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions
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