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Atlassian is seeking a Senior Machine Learning Scientist to join our Central AI team. The Central AI organization constructs the fundamental infrastructure, data pipeline, frameworks, models, and other capabilities to expedite AI feature development throughout the entire company. The role involves working on machine learning algorithms, training models, and collaborating with teams to build AI functionalities across Atlassian products and services.
Job Responsibility:
Designing system and model architectures
Conducting rigorous experimentation and model evaluations
Providing guidance to junior ML engineers
Collaborating with product, engineering, and analytics teams
Development and implementation of the cutting-edge machine learning algorithms
Training sophisticated models
Building AI functionalities into each Atlassian product and service
Requirements:
Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
3+ years of related industry experience in the data science domain
Expertise in Python or Java with 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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