Principal Machine Learning Engineer

Role Description

As a Principal Machine Learning Engineer, you will drive the development and implementation of cutting-edge machine learning algorithms, training sophisticated models, and collaborating with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks:

• Designing system and model architectures
• Conducting rigorous experimentation and model evaluations
• Providing guidance to emerging ML engineers

Your role is pivotal, ensuring AI's transformative potential is realized across our offerings.

Qualifications

• Experience in machine learning and AI technologies
• Strong technical leadership skills
• Ability to mentor and guide engineers
• Excellent communication skills for both technical and non-technical stakeholders

Requirements

• Drive complex decisions that impact the work of teams and change their technical direction over multiple quarters
• Regularly tackle the largest and most complex problems on the team, from technical design to launch
• Set the direction of systems and capabilities, balancing progress over perfection
• Determine plans-of-attack on large projects and solve complex architecture challenges
• Design, develop, and deploy production-grade ML models (e.g., ranking, retrieval, LLM-based systems)
• Conduct meticulous experimentation and model evaluations, backing decisions with data
• Develop robust feature engineering practices to ingest, process, and serve features for offline training and online inference at scale
• Oversee end-to-end deployment of ML solutions into production, ensuring continuous evaluation, monitoring, and improvement
• Collaborate closely with product managers, designers, and engineering teams to integrate AI/ML capabilities into products
• Partner across engineering teams to take on company-wide programs spanning multiple projects
• Mentor and guide junior and senior engineers, fostering a culture of innovation, collaboration, and continuous learning
• Identify, solve, and bridge gaps/problems across teams using experience and expertise
• Quickly collate and analyze key decision parameters, balancing speed, risk, and impact appropriately
• Limit ambiguity and risk by experimenting and prototyping
• Understand how contributions of multiple capabilities fit into larger products and platforms

Benefits

• Health and wellbeing resources
• Paid volunteer days
• Additional perks and benefits to support you and your family

Company Description

At Atlassian, we're motivated by a common goal: to unleash the 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.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process.