[Remote] Senior Machine Learning System Engineer - Agentic Search & Intelligence

Note: The job is a remote job and is open to candidates in USA. Atlassian builds software products that help teams collaborate and unleash their potential. The Senior Machine Learning System Engineer will build agentic search and intelligence systems that enable AI agents to discover information, reason over enterprise knowledge, and select capabilities for complex tasks. The role spans agentic search, retrieval and relevance, procedural intelligence, and evaluation systems at enterprise scale.

Responsibilities

• 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

Skills

• 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
• 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

Benefits

• Atlassians can choose where they work – whether in an office, from home, or a combination of the two.
• This role may also be eligible for benefits, bonuses, commissions, and equity.
• Health and wellbeing resources
• Paid volunteer days

Company Overview

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