Base Salary
$226k - $356k/yr
Responsibilities
- Design and build high-quality agentic search systems addressing tail latency, throughput, concurrency, caching, sharding, fault isolation, capacity, and graceful degradation.
- Set the long-term architecture and technical roadmap for online retrieval, index serving, query processing, and ML inference.
- Translate advances in information retrieval and machine learning into production systems through evaluation, experimentation, and incremental adoption.
- Establish ML production practices covering offline and online evaluation, experimentation, observability, safe rollout and rollback, model-quality regressions, and incident response.
- Advance production inference for embedding, retrieval, and ranking models using batching, quantization, distillation, compilation, and hardware-aware optimization.
- Lead cross-team technical initiatives, simplify fragmented systems, mentor senior engineers, and align technical and product leaders.
Requirements
- 10+ years of relevant experience designing and operating large-scale, low-latency search, recommendation, advertising, or retrieval systems.
- Deep ML systems experience with production inference, model optimization, retrieval and ranking pipelines, evaluation, experimentation, and operations.
- Strong distributed-systems expertise in performance, concurrency, availability, multi-tenancy, capacity planning, observability, and cost efficiency.
- Strong information-retrieval and applied-ML foundations, including practical experience with lexical, semantic, vector, or hybrid retrieval.
- Track record of setting cross-organization technical direction, resolving consequential architecture decisions, and delivering through multiple teams and senior technical leaders.
- Strong product and technical judgment, including framing problems, testing hypotheses, comparing alternatives, and evaluating investment complexity.
Benefits
- Flexible work arrangement allowing work from an office, home, or a combination of the two, subject to locations with an Atlassian legal entity.
- Health and wellbeing resources.
- Paid volunteer days.
- 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.