Senior Machine Learning System Engineer - Agentic Search & Intelligence
Primary stack
Nice to have's
Job description
About the Position
Senior Machine Learning System Engineer - Agentic Search & Intelligence
Join Atlassian as a Senior Machine Learning System Engineer to shape the future of AI agents in search and intelligence.
Responsibilities
You will help build systems that enable AI agents to discover information, reason over enterprise knowledge, and choose the right capabilities to complete complex tasks. Depending on your interests and expertise, you may work across areas such as:
- Agentic Search - Build systems that plan, decompose, reformulate, and iteratively execute searches across multiple steps and data sources.
- Agent Search Experiences - Make search agent-friendly, define the interfaces, APIs, contracts, result formats, citations, and search primitives through which agents interact with enterprise knowledge.
- Retrieval & Relevance - Advance enterprise retrieval through embeddings, hybrid retrieval, learning-to-rank, LLM reranking, query understanding, and large-scale relevance optimization.
- Procedural Intelligence - Teach agents to understand what tools and procedures are available, what they can do, and which capability should be used for a particular task.
- Evaluation & Learning - Develop offline and online evaluation systems for retrieval quality, agent behavior, tool selection, grounding, and end-to-end task success.
Requirements
Strong candidates will have several of the following:
- Deep experience in machine learning, information retrieval, recommendation, ranking, NLP, LLMs, or adjacent areas.
- Experience building ML systems that operate at meaningful production scale.
- Strong software engineering fundamentals and the ability to turn modeling ideas into reliable production systems.
- Experience designing experiments and evaluations for complex ML systems.
- Ability to reason from first principles about ambiguous problems rather than simply applying existing techniques.
- A track record of driving meaningful technical or product outcomes.
- Strong technical communication and the ability to influence engineers and leaders across teams.
Nice to Have
Experience in any/some of the following is especially relevant:
- Agentic systems, multi-step reasoning, search agents, or LLM tool use
- Retrieval-augmented generation and context engineering
- Tool discovery, tool ranking, MCP, or capability routing
- Evidence aggregation, grounding, citations, or hallucination reduction
We Offer
- Competitive salary ranging from $171,063 - $269,075 per year, depending on the geographic pay zone.
- A wide range of perks and benefits designed to support you, your family, and to help you engage with your local community.
- Flexible working arrangements – choose where you work, whether in an office, from home, or a combination of the two.
About the Company
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.
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