Machine Learning Engineer

Atlassian • San Francisco, CA

78d • $145,800 - $229,125

About The Position

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. The mission of Atlassian is to unleash potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. AI/ML is significantly transforming how teams come together to plan, track, and deliver work across software and business teams using our products. We are looking for rockstar Machine learning engineers to come help us to further this mission and help make teams more productive leveraging AI across our product portfolio.

Requirements

• Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience).
• 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) is a plus.
• Experience building and scaling machine learning models using large amounts of data.
• Agile development mindset, appreciating the benefit of constant iteration and improvement.

Nice To Haves

• Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space.
• Experience in developing deep learning-based models and working on LLM-related applications.
• Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations.

Responsibilities

• Work on the development and implementation of cutting edge machine learning algorithms.
• Train models and collaborate with product, engineering, and analytics teams.
• Build AI functionalities into each Atlassian product and service.
• Design system and model architectures.
• Conduct rigorous experimentation and model evaluations.
• Apply AI/ML to various product problems to improve Atlassian products.
• Contribute to Atlassian Intelligence features.

Benefits

• Health coverage.
• Paid volunteer days.
• Wellness resources.

What This Job Offers

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