Atlassian

Senior Principal Machine Learning Systems Engineer, Search Platform

Atlassian$272K — $356K *
US-Anywhere
+ 4 other locationsRemote
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of relevant experience in large-scale search or retrieval systems.
  • Expertise in deep machine learning systems and production inference.
  • Strong distributed-systems skills in performance and cost efficiency.
  • Knowledgeable in information retrieval techniques, including semantic and hybrid methods.
  • Experience setting technical direction across organizations with senior technical leaders.

Responsibilities

  • Design and build high-quality search systems addressing latency, throughput, and reliability.
  • Set the architecture and roadmap for retrieval, query processing, and ML inference.
  • Establish ML production practices including experimentation and incident response.
  • Advance production inference through techniques such as batching and optimization.
  • Lead initiatives to simplify systems, mentor engineers, and align cross-team direction.

Benefits

  • Wide range of health and wellbeing resources.
  • Paid volunteer days to engage with the community.
  • Support designed for you and your family.
Full Job Description
Overview

Responsibilities Your future team: Search Platform

The Search Platform team is responsible for powering Rovo Search, knowledge discovery and search for humans and agents across all enterprise data. Our mission is to make all our customers' knowledge across Atlassian and their external apps (i.e. third-party applications) searchable securely and reliably through an insanely fast, globally scalable, cost-efficient, enterprise grade search infrastructure. Powering search and discovery in the agentic era is a whole new challenge that you will help lead.

As the technical lead for Search Serving, you will set its long-term technical direction and be accountable for its contribution to end-to-end search quality, tail latency, reliability, scalability, operability, and cost. You will work with Relevance, Search Data, and Product to determine where new ML capabilities can meaningfully change search experience, quality and platform capabilties.

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. Turn advances in information retrieval and machine learning into production systems through rigorous evaluation, experimentation, and incremental adoption.

  • Establish strong ML production practices spanning 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 through techniques such as batching, quantization, distillation, compilation, and hardware-aware optimization.

  • Lead step-change initiatives across multiple teams, simplify fragmented systems, mentor senior engineers, and align technical and product leaders around long-term direction. Uplevel team and platform maturity to best-in-class agentic development practices to accelerate innovation.

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

This role may also be eligible for benefits, bonuses, commissions, and equity.

Pay Ranges

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $272,700 - $356,025

Zone B: $245,430 - $320,423

Zone C: $226,341 - $295,501

Qualifications Requirements
  • 10+ years of relevant experience, including 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.

  • A track record of setting cross-organization technical direction, resolving consequential architecture choices, and delivering through multiple teams and senior technical leaders.

  • Strong product and technical judgment: framing important problems, testing hypotheses, comparing alternatives, and stopping investments whose value does not justify their complexity.

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

Atlassian is a leading provider of collaboration, development, and issue tracking software for teams. With over 194,000 customers worldwide, including 85 of the Fortune 100, Atlassian is changing the way teams work. Our products help teams organize, discuss, and complete shared work. Atlassian has a unique business model that allows us to deliver software to teams of all sizes, from small startups to large enterprises. Our products are available on a subscription basis, with no upfront fees or long-term commitments. Atlassian was founded in 2002 and is headquartered in San Francisco, California.
Learn more about Atlassian
Size
6,433 employees
Market Cap
$31.9 billion
Industry
Net Income
-$1.1 billion
Founded
2002
5 Year Trend
+34.9%
Revenue
$1.8 billion
NASDAQ

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