Senior Principal Machine Learning Systems Engineer, Search Platform

Atlassian
Seattle, San Francisco, Mountain View, New York
Workplace: RemoteFull timeFunction: IT Operations (Systems/Network Admin)Skills: ["Technical judgment","Mentoring","Cross-organization collaboration"]

Lead technical direction and build agentic search systems for enterprise knowledge discovery. Own end-to-end search serving quality, tail latency, reliability, scalability, operability, and cost while collaborating with relevance, search data, and product teams. Design and implement online retrieval, index serving, query processing, and ML inference with rigorous evaluation, experimentation, safe rollouts/rollbacks, and incident response. Advance production inference using batching, quantization, distillation, compilation, and hardware-aware optimization.

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FursaFursa
Atlassian
Atlassian
1 day ago

Senior Principal Machine Learning Systems Engineer, Search Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Lead technical direction and build agentic search systems for enterprise knowledge discovery. Own end-to-end search serving quality, tail latency, reliability, scalability, operability, and cost while collaborating with relevance, search data, and product teams. Design and implement online retrieval, index serving, query processing, and ML inference with rigorous evaluation, experimentation, safe rollouts/rollbacks, and incident response. Advance production inference using batching, quantization, distillation, compilation, and hardware-aware optimization.
Location: Seattle, San Francisco, Mountain View, New York
Workplace: Remote
Employment Type: Full time
Job Function: IT Operations (Systems/Network Admin)
Seniority: Mid level

Key Responsibilities

  • •Design and build agentic search systems to address tail latency, throughput, concurrency, caching, sharding, fault isolation, capacity, and graceful degradation.
  • •Set long-term architecture and technical roadmap for online retrieval, index serving, query processing, and ML inference through evaluation, experimentation, and incremental adoption.
  • •Establish ML production practices across offline/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 step-change initiatives across teams, simplify fragmented systems, mentor senior engineers, and align technical and product leaders around long-term direction.

Pay and Benefits

Perks:Health Insurance

Key Requirements

  • •10+ years of relevant experience designing and operating large-scale, low-latency search, recommendation, advertising, or retrieval systems.
  • •Deep ML systems experience, including production inference, model optimization, retrieval and ranking pipelines, evaluation, experimentation, and operations.
  • •Strong distributed-systems expertise across performance, concurrency, availability, multi-tenancy, capacity planning, observability, and cost efficiency.
  • •Strong information-retrieval and applied-ML foundations, with practical experience across lexical, semantic, vector, or hybrid retrieval.
  • •Track record of setting cross-organization technical direction and resolving consequential architecture choices while delivering through multiple teams and senior technical leaders.
Skills:Technical judgmentMentoringCross-organization collaboration

Company Brief

Atlassian
Atlassian develops collaboration and workflow software—Jira, Confluence, Trello, Loom and more—used by teams for project management, software development, and IT service management across enterprises worldwide.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Sydney, Australia
Founded: 2002
Glassdoor
Glassdoor: 3.1
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