Engineering | Singapore, Singapore | Remote, Remote
At Atlassian, we're on a mission to unleash the potential of every team. As part of that mission, we're investing deeply in Generative AI pioneering advanced modeling and rapid innovations that accelerate how teams work, discover, and create.
We're seeking a
Principal Machine Learning Engineer (P60) to join our new
GenAI Products & Innovation Forge in Singapore. This is a hands-on technical leadership role where you'll push the boundaries of advanced GenAI Products with enterprise knowledge, rapid prototyping, and applied researchturning state-of-the-art techniques into high-impact innovations across Atlassian.
Working at AtlassianAtlassians 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.
What You'll Do🧠
Advance GenAI Products with Knowledge- Design and build novel approaches for knowledge-grounded LLMs, embeddings, and multimodal modeling.
- Explore fine-tuning, post-training, and retrieval-augmented strategies to adapt foundation models to Atlassian's data.
- Lead technical explorations that expand the frontier of what's possible in applied generative modeling.
⚡
Prototype & Experiment Rapidly- Drive POC experimentation, from agentic workflows to novel GenAI-powered assistants.
- Translate research ideas into fast, working prototypes that demonstrate user value.
- Define and implement evaluation methods (groundedness, hallucination detection, human-in-the-loop) to measure success.
🤝
Provide Technical Leadership- Act as the technical anchor of a small tiger team, mentoring engineers and scientists.
- Influence design and implementation across retrievers, rankers, orchestration, and serving infrastructure.
- Collaborate with product and platform teams to transition prototypes into scalable systems.
🚀
Shape Innovation Strategy- Contribute to the roadmap for the Forge as a global hub for advanced GenAI products and applied research.
- Partner with peers across Rovo, Jira Search, Knowledge AI, and Platform to drive cross-team impact.
- Champion responsible AI, groundedness, and data quality in all innovations.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
This role may also be eligible for benefits, bonuses, commissions, and equity.
What We're Looking For✅
Experience- 6+ years in ML/AI engineering, with deep expertise in LLMs, NLP, or search.
- Proven track record of building and shipping ML-powered or GenAI-integrated products.
- Hands-on experience with retrieval-augmented generation (RAG), embeddings, hybrid retrieval, or agentic workflows.
- Strong background in scaling ML systems from prototype to production.
💡
Skills- Expert-level knowledge of GenAI ecosystems (OpenAI, Anthropic, Mistral, OSS) and fine-tuning/serving frameworks.
- Deep technical skills across modeling, infrastructure, and orchestration (LangChain, LlamaIndex, vector DBs).
- Strong prototyping ability, balancing speed with rigor in experimentation.
- Ability to set technical direction and inspire peers with thought leadership.
📚
Education- Master's or PhD in Computer Science, Machine Learning, or related field preferredor equivalent industry experience.
Nice to Have- Experience with multimodal models, knowledge graphs, or semantic embeddings.
- Familiarity with evaluation metrics for search/GenAI (NDCG, groundedness, human preference modeling).
- Contributions to open-source ML frameworks or GenAI research communities.
- Passion for mentoring, fostering innovation, and shaping a new AI hub in Singapore.
Benefits & PerksAtlassian 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
