Principal ML/AI Software Engineer

Overview

Working at Atlassian

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.

To help our teams work together effectively, this role is fully remote but requires you to be located in Turkiye.

Responsibilities

What you’ll do

We Are Looking For a Principal Engineer Experienced In The ML/AI Domain To Drive The Vision, Development, And Launch Of AI-powered Products And Platforms At Atlassian. You Will Lead Initiatives Across Two Key Areas:

• AI Foundation - Building scalable AI infrastructure and tools to expedite the development of AI-powered features across Atlassian's product teams.
• NextGen AI - Exploring cutting-edge AI applications (for example, chatbot experiences, generative AI features) to shape the future of our products.

This role requires strong technical leadership, balancing hands-on engineering, strategic decision-making, and cross-functional collaboration to ensure the successful end-to-end delivery of AI solutions.

Joining Atlassian is an opportunity to be at the forefront of industry transformation.

Responsibilities

• 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.

Qualifications

Must-Have:

• 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:

• PhD or MS in a relevant field.
• Background in ML modeling (training/fine-tuning ML models).
• Experience with chatbots, generative AI, or LLM-powered applications.

Benefits & Perks

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. To learn more, visit go.atlassian.com/perksandbenefits .

About Atlassian

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. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh .