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🧠 Advance GenAI Modeling:
- 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:
- Provide technical mentorship to team members.
- Influence design and implementation across retrievers, rankers, orchestration, and serving infrastructure.
- Collaborate with product and platform teams to turn prototypes into scalable systems.
🚀 Shape Innovation Strategy:
- Contribute to the roadmap for advanced GenAI modeling 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.
Atlassian
At Atlassian, they’re motivated by a common goal: to unleash the potential of every team. Their software products help teams all over the planet, and their solutions are designed for all types of work.