Requirements

7+ years of experience in Machine Learning engineering, including hands-on work with training/inference pipelines, prompt engineering, and ML systems, demonstrating deep expertise in applied ML.
Proven track record of tech-leading AI/ML products from conception to launch.
Strong platform mindset - experience building reusable tools/infras to accelerate AI development.
Strong programming skills in any OOO programming language - we’re open to candidates from different tech backgrounds.
Excellent communication and collaboration skills.

Nice to Have

Define the technical vision and roadmap for AI Foundation and NextGen.
End-to-end ownership - from prototyping and development to production.
Hands-on work in prompt engineering, model iteration, and training/inference systems.
Collaborate with Product, Engineering, Data Science, and UX to align on priorities and deliver measurable impact.
Facilitate product and technical decisions, ensuring alignment with business goals.
Drive platformization of AI/ML systems to improve scalability, reliability, and adoption across teams.
Partner with customer teams to understand needs, build relationships, and expand the scope of AI adoption.
Explore and apply state-of-the-art AI/ML techniques to solve novel product challenges.
Evaluate in-house model development vs. third-party APIs for ML/AI solutions.
Establish best practices for AI development, quality measurement, monitoring, and scalability.

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community.
Our offerings include health and wellbeing resources, paid volunteer days, and so much more.
Learn more about perks and benefits here.