ML Engineer - AI-Driven Search & IR Systems

Atlassian; Seattle (WA); On-site; USD 178,000 - 233,000; Full time

Benefits offered by this job

Health benefits

Equity

Job summary

Atlassian is seeking an ML Engineer (MLE) to design and ship intelligent search experiences powering Rovo Chat and AI-driven workflows across the Atlassian platform. You will work at the intersection of machine learning, information retrieval, and large language models to deliver search capabilities that help millions of users find, understand, and act on their work data.

You will design, build, and optimize ML-powered search skills, develop production pipelines, and drive end-to-end

Qualifications

• Strong software engineering fundamentals.
• Experience building ML systems at scale.
• Familiarity with search/IR, NLP, or LLM-based systems.
• Ability to operate independently and drive technical decisions.

Responsibilities

• Design, build, and optimize ML-powered search skills that integrate with Rovo's agentic architecture, including query understanding, retrieval, ranking, and answer generation.
• Develop and maintain production ML pipelines for search relevance, leveraging techniques such as reranking, embedding models, and reinforcement learning.
• Drive end-to-end experimentation — from offline evaluation to online A/B testing — to measure and improve search quality metrics.
• Collaborate with product, platform, and applied science partners to translate user needs into scalable ML solutions.
• Contribute to the team's evaluation infrastructure and data tooling to accelerate iteration.

Skills

Software engineering

ML systems at scale

Search/IR

NLP/LLM

Tools

Python

ML frameworks

Job description

Atlassian is seeking an ML Engineer (MLE) to design and ship intelligent search experiences powering Rovo Chat and AI-driven workflows across the Atlassian platform. You will work at the intersection of machine learning, information retrieval, and large language models to deliver search capabilities that help millions of users find, understand, and act on their work data.

You will design, build, and optimize ML-powered search skills, develop production pipelines, and drive end-to-end