8 hours ago
Remote, India or Bengaluru, IndiaStaff+
Responsibilities
- Set the technical direction for major ML-powered search data and indexing capabilities.
- Productionise ML approaches for document understanding, enrichment, embeddings, semantic representations, and index evolution.
- Own the ML lifecycle across data and feature strategy, model selection, training or adaptation, deployment, evaluation, monitoring, and continuous improvement.
- Design scalable ML and distributed-data systems balancing retrieval quality, freshness, correctness, reliability, latency, and cost.
- Create reusable ML and indexing patterns for new sources and content types.
- Lead cross-team technical decisions through hands-on work, mentoring, and clear communication.
Requirements
- 10+ years of hands-on experience building models or production ML systems, including deep applied-ML experience in search, information retrieval, recommendation, NLP, LLMs, or content understanding.
- 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 expertise, including large-scale processing, indexing, failure recovery, schema evolution, scalability, and cost management.
- Demonstrated technical innovation through evaluating techniques, conducting rigorous experiments, and converting successful ideas into reliable production capabilities.
- Strong product judgment and ability to select appropriately among rules, classical ML, deep learning, and LLM-based approaches.
- Experience leading ambiguous multi-team initiatives, influencing senior engineers, and developing other technical leaders.
Benefits
- Flexible work arrangement with office, home, or hybrid options, subject to employment in a country where Atlassian has a legal entity.
- Health and wellbeing resources, paid volunteer days, and additional benefits and perks.
- Potential eligibility for benefits, bonuses, commissions, and equity.
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.