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Atlassian is looking for a Senior Machine Learning Engineer to join our Central AI team. The Central AI organisation constructs the fundamental infrastructure, data pipeline, frameworks, models, and other capabilities to expedite AI feature development throughout the entire company.
Job Responsibility:
Drive the development and implementation of cutting edge machine learning algorithms
Training sophisticated models
Collaborating with product, engineering, and analytics teams
Build the AI functionalities into each Atlassian products and services
Designing system and model architectures
Conducting rigorous experimentation and model evaluations
Providing guidance to emerging ML engineers
Requirements:
Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
6+ 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
Explain data science concepts to diverse audiences, create 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 developing deep learning-based models and working on LLM-related applications
Excel 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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