Principal Machine Learning Systems Engineer (GenAI Products & Knowledge Innovations)

At Atlassian were on a mission to unleash the potential of every team. As part of that mission were investing deeply in Generative AI pioneering advanced modeling and rapid innovations that accelerate how teams work discover and create.

Were seeking a Principal Machine Learning Systems Engineer (P60) to lead technical directions of GenAI Products & Knowledge Innovations in US. Youll focus on building and scaling the systems that power advanced GenAI products with enterprise knowledge rapid prototyping and applied researchbridging cutting-edge algorithms with reliable high-performance infrastructure.

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.

Design and Build ML Systems

• Architect and implement scalable systems for training fine-tuning and serving large language models and embeddings.

• Build efficient retrieval hybrid search and RAG pipelines integrated with knowledge-grounded data.

• Develop tools and infra to support rapid experimentation evaluation and deployment of prototypes.

Enable Rapid Prototyping & Applied Research

• Partner with applied scientists to bring new ideas to life in robust production-ready pipelines.

• Build proof-of-concept (POC) systems and evolve them into reliable scalable services.

• Optimize latency throughput and resource efficiency for GenAI workloads.

Collaborate Across Disciplines

• Work closely with ML engineers backend developers and product teams to ship end-to-end innovations.

• Contribute to best practices in model deployment monitoring and evaluation.

• Help establish the team as a world-class hub for GenAI systems innovation.

At Atlassian we strive to design equitable explainable and competitive compensation programs. We follow consistent hiring practices and account for each candidates skills knowledge and experience when setting base pay within the range.

Please visit for more information on which locations are included in each of our geographic pay zones. However please confirm the zone for your specific location with your recruiter.

This role may also be eligible for benefits bonuses commissions and equity.

In The United States we have three geographic pay zones. For this role our current base pay ranges for new hires in each zone are:

Zone A: $236700 - $309025

Zone B: $213030 - $278123

Zone C: $196461 - $256491

Experience

• 6 years in ML systems engineering backend engineering or infrastructure roles.

• Strong track record of building and scaling ML-powered services in production.

• Experience with large-scale model training inference pipelines or search/retrieval systems.

Skills

• Proficiency in backend systems and ML frameworks (Python PyTorch TensorFlow Hugging Face).

• Experience with vector databases (Weaviate Pinecone FAISS) orchestration frameworks (LangChain LlamaIndex).

• Strong coding skills and ability to optimize systems for performance and reliability.

• Familiarity with cloud environments (AWS GCP Azure) and container/orchestration tools (Kubernetes Docker).

Education

• Bachelors or Masters in Computer Science Machine Learning or related fieldor equivalent industry experience.

• Background in distributed systems high-performance computing or GPU optimization.

• Familiarity with search/GenAI evaluation metrics (e.g. NDCG groundedness latency benchmarks).

• Experience with monitoring observability and reliability practices for ML systems.

• Contributions to open-source infra or ML systems frameworks.

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 Atlassian

At Atlassian were 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 everyones 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 line with local law identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.