Atlassian is looking to drive revenue generation, expand its active user base, and provide sophisticated forecasting for company top-line metrics by building and deploying ML modeling solutions.
Requirements
- Expertise in Python 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
- Agile development mindset, appreciating the benefit of constant iteration and improvement
- Experience in machine learning domain
- Experience in developing recommendation algorithms and AI applications for Sales
Responsibilities
- designing system and model architectures
- conducting rigorous experimentation and model evaluations
- collaborating with business, engineering, and analytics teams to build large scaled recommendation systems
- developing and implementing cutting edge machine learning algorithms
- building and scaling machine learning models in business applications using large amounts of data
- working on the development and implementation of machine learning algorithms to recommend the best growth drivers and actions to customers
- ensuring AI/ML's transformative potential is realized across Atlassian's offerings
Other
- Master or PhD in a quantitative subject (Mathematics, Computer Science, Statistics, Operations Research, or relevant work experience)
- 3+ years of Experience in machine learning domain
- Ability to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions
- Ability to work in a collaborative environment
- Ability to work in a distributed-first company with virtual interviews and onboarding
