Principal Machine Learning Engineer - Central AI

Atlassian • Seattle, WA

113d • $193,500 - $303,150

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 Central AI org is part of the larger Atlassian Intelligence program. Its purpose is to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and setup up an Atlassian AI infrastructure for the future. While it's anticipated that the majority of AI-driven initiatives will be developed and executed by federated product teams within Atlassian, the role of Central AI is pivotal to this process. Central AI is tasked with constructing the underlying infrastructure and capacities, which are crucial for the seamless integration and optimal functionality of AI across various departments. By doing so, Central AI ensures that different teams within the organization do not work in silos but have access to a unified foundation that promotes efficiency and collaboration. Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery and conversation.

Requirements

• 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 and 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.
• Focus on business practicality and the 80/20 rule.
• 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.

Responsibilities

• Drive the development and implementation of cutting edge machine learning algorithms.
• Train sophisticated 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.
• Provide guidance to emerging ML engineers.
• Ensure AI's transformative potential is realized across 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

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees