Principal Machine Learning Systems Engineer, Search Platform
Atlassian · Posted Oct 8
Enterprise project management, team collaboration, and software development tools
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About the role
Search Platform's mission is to power world-class, trusted cross-product knowledge search and discovery for people and agents across all of Atlassian's product and agentic surfaces. The team builds the ML and distributed-data systems behind document understanding, content representations, embeddings, and index construction and evolution. This role is a product-minded ML systems leadership position that owns a major ML-powered Search Data and indexing capability from problem framing and experimentation through architecture, launch, and operation, working closely with Search Quality and product teams.
What you will do
- Set the technical direction for a major ML-powered Search Data and indexing capability, translating customer and product problems into ambitious, measurable ML and systems outcomes.
- Advance and productionise ML approaches for document understanding, enrichment, embeddings and semantic representations, index construction and index evolution.
- Own the ML lifecycle end to end: data and feature strategy, model selection, adaptation or training, deployment, offline evaluation, monitoring and continuous improvement.
- Partner with Search Quality and product teams on online outcome measurement.
- Design scalable ML and distributed-data systems that operate across heterogeneous sources while balancing retrieval quality, freshness, correctness, reliability, latency and cost.
- Create reusable ML and indexing patterns that make content from new sources and content types easier to represent and index with strong default search quality.
- Lead difficult technical decisions across partner teams and advance the ML and engineering craft of the group through hands-on work, mentoring and clear communication.
Skills used in this role
What the employer is looking for
- 10+ years of hands-on experience building models or production ML systems, with deep applied-ML experience in areas such as search, information retrieval, recommendation, NLP, LLMs or content understanding.
- Proven experience designing, building and operating production ML systems across data preparation, representations or features, model development, deployment, evaluation, observability and model or data drift.
- Strong software, distributed-systems and data-engineering depth, including large-scale processing, indexing, failure recovery, schema evolution, scalability and cost.
- A track record of technical innovation: evaluating new research or industry techniques, proving their value through rigorous experiments and turning successful ideas into reliable production capabilities.
- Strong product judgment: ability to discover the real customer problem, define measurable outcomes and choose appropriately among rules, classical ML, deep learning and LLM-based approaches.
- Experience leading across ambiguous, multi-team initiatives, including setting direction, influencing senior engineers and developing other technical leaders.
Benefits and support
- health and wellbeing resources
- paid volunteer days
- bonuses
- equity
About Atlassian
Atlassian is a leading software company that builds enterprise collaboration, project planning, and issue-tracking tools such as Jira, Confluence, and Trello. Empowering teams across the globe, Atlassian focuses on unleashing the potential of every team through advanced workflows, cloud infrastructure, and AI-driven capabilities.
- Industry
- Software
- Company size
- 10001+ employees
- Founded
- 2002
- Location
- Sydney, Australia
- Funding stage
- Public Company
Funding
Public Company · $210M raised
- 2010-07-13Venture - Series Unknown$60M
- 2014-04-10Secondary Market$150M
Leadership
CEO & Co-Founder
Chief Financial Officer
Chief Revenue Officer
Chief People and AI Enablement Officer
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