Job Description
<h3>📋 Description</h3> • drive the development and implementation of cutting edge machine learning algorithms
• training sophisticated models
• collaborating with product, engineering, and analytics teams, to 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
• ensuring AI's transformative potential is realised across our offerings. <h3>🎯 Requirements</h3> • 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 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
• 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
• Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space (it's great, but not required)
• Experience developing deep learning-based models and working on LLM-related applications (it's great, but not required)
• 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. <h3>🏖️ Benefits</h3> • health coverage
• paid volunteer days
• wellness resources
• so much more.