Base Salary
$171k - $269k/yr
Responsibilities
- Develop machine learning and LLM capabilities for query intelligence, including intent understanding, query rewriting and decomposition, entity understanding, and translation of natural language into structured search constraints.
- Build and improve agentic search planners that select sources and tools, create search strategies, and adapt based on retrieved evidence.
- Improve model and agent behavior through prompt development, model selection, training data improvements, and fine-tuning where appropriate.
- Own projects from problem definition and prototyping through experimentation, production deployment, and ongoing measurement.
- Build datasets and evaluation methods for retrieval relevance, evidence coverage, task success, grounding, and agent behavior.
- Balance search quality with latency, inference cost, reliability, enterprise permissions, and data boundaries.
- Collaborate with search platform, relevance, Rovo Chat, and AI teams to integrate capabilities into customer experiences.
- Contribute to technical design and code reviews, mentor junior engineers, and share ML and engineering practices.
Requirements
- Bachelor’s or master’s degree in Computer Science or a related field, or equivalent practical experience.
- 4+ years of relevant industry experience in machine learning, including delivering ML capabilities into production.
- Strong Python programming skills and the ability to write reliable, maintainable, production-quality code.
- Experience in one or more of natural language processing, information retrieval, search relevance, or LLM applications.
- Experience designing experiments, building evaluation datasets, analyzing model behavior, and using evidence to guide improvements.
- Understanding of the ML development lifecycle from data preparation and modeling through deployment, monitoring, and iteration.
- Ability to own ambiguous problems, make practical technical tradeoffs, and communicate clearly with engineering and product partners.
- Preferred experience includes AI agents, tool-use workflows, multi-step search systems, retrieval-augmented generation, query understanding, semantic or hybrid retrieval, ranking, personalization, context-aware search, LLM fine-tuning or post-training, agent evaluation, Spark, AWS, or Databricks.
Benefits
- Flexible work location with office, home, or hybrid options; Atlassian can hire in countries where it has a legal entity.
- Health and wellbeing resources, paid volunteer days, and additional benefits and perks.
- The role may be eligible for benefits, bonuses, commissions, and equity.
Tech Stack
Categories
About Atlassian
Atlassian powers the collaboration that helps teams accomplish what would otherwise be impossible alone. From space missions and motor racing to bugs in code and IT requests, no task is too large or too small with the right team, the right tools, and the right practices. Over 300,000 global companies and 80% of the Fortune 500 rely on Atlassian’s software, like Jira, Confluence, Loom, and Trello, to help their teams work better together and deliver quality results on time. With our 300,000+ customers and team of 10,000+ Atlassians, we are building the next generation of team collaboration and productivity software. We believe the power of teams has the potential to change the world — one that is more open, authentic, and inclusive.