About The Position
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 research—turning state-of-the-art techniques into high-impact innovations across Atlassian.
Requirements
- 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.
- 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.
- Master’s or PhD in Computer Science, Machine Learning, or related field preferred—or equivalent industry experience.
Nice To Haves
- 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.
Responsibilities
- 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.
- 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.
- 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.
- 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.
Benefits
- Health and wellbeing resources
- Paid volunteer days
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What This Job Offers
Job Type
Full-time
Career Level
Principal
