Principal Machine Learning Engineer

Atlassian

Remote regions

US

Salary range

$193,500–$303,150/yr

Benefits

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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.

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