Machine Learning Engineer

Atlassian • Washington, DC

89d • $145,800 - $229,125

About The Position

Atlassian is looking for a Machine Learning Engineer to join our Core Machine Learning team based in Mountain View, CA. The Core Machine Learning team builds and deploys ML modeling solutions to drive revenue generation, expand our active user base and provide sophisticated forecasting for company top-line metrics. This is accomplished by driving the complete end-to-end ML development cycle. This is a unique opportunity to work in a collaborative environment, implement the cutting edge machine learning techniques, especially recommendation systems, and tackle challenging and distinctive problems.

Requirements

• 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.
• Expertise in Python 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.
• Agile development mindset, appreciating the benefit of constant iteration and improvement.

Nice To Haves

• Experience in developing recommendation algorithms and AI applications for Sales.
• Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space.
• 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.

Responsibilities

• Work on the development and implementation of cutting edge machine learning algorithms.
• Collaborate with business, engineering, and analytics teams to build large scaled recommendation systems.
• Design system and model architectures.
• Conduct rigorous experimentation and model evaluations.
• Ensure AI/ML's transformative potential is realized across our offerings.

Benefits

• Health and wellbeing resources.
• Paid volunteer days.
• Equitable, explainable, and competitive compensation programs.
• Eligibility for benefits, bonuses, commissions, and equity.

What This Job Offers

• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees