Job Description
<h3>📋 Description</h3> • drive the development and implementation of cutting edge machine learning algorithms
• train sophisticated models
• collaborate with product, engineering, and analytics teams
• build AI functionalities into each Atlassian products and services
• design system and model architectures
• conduct rigorous experimentation and model evaluations
• provide guidance to emerging ML engineers <h3>🎯 Requirements</h3> • 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 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
• Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space (great but not required)
• Experience in developing deep learning-based models and working on LLM-related applications (great but not required)
• 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. <h3>🏖️ Benefits</h3> • health and wellbeing resources
• paid volunteer days
• and so much more.