Back to jobs

Principal Machine Learning Engineer - Search & Intelligence

Seattle, WA

Pay
Multiple pay statements — pay source
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: $236,700 - $309,025 Zone B: $213,030 - $278,123
Zone A: $236,700 - $309,025 Zone B: $213,030 - $278,123 Zone C: $196,461 - $256,491
Zone B: $213,030 - $278,123 Zone C: $196,461 - $256,491 Qualifications
Read the full posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Atlassian

What you’ll work on

Full posting
  • You will collaborate closely with product, engineering, and analytics teams to translate complex business and customer needs into impactful solutions.

From the employer’s posting
What you’ll do As a Principal Machine Learning Engineer, you will lead the development and implementation of cutting-edge machine learning algorithms and sophisticated models that power AI capabilities across Atlassian’s products and services. You will collaborate closely with product, engineering, and analytics teams to translate complex business and customer needs into impactful solutions. Your responsibilities will span designing system and model architectures, leading rigorous experimentation and evaluation, and providing technical mentorship to emerging ML engineers. Beyond these core responsibilities, you will help shape our AI strategy and ensure its transformative potential is realized across Atlassian.

What you’ll bring

All qualifications

Core experience

  • Proficiency in SQL and experience with Spark and cloud-based data environments such as AWS or Databricks.
  • Experience building, deploying, and scaling machine learning models for business applications using large, complex datasets.
  • Strong communication skills, including the ability to explain data science concepts to diverse audiences and tell compelling, data-driven stories.
  • Experience fine-tuning, post-training, and optimizing state-of-the-art large language models, embedding models, and ranking models.
  • Experience developing and evaluating advanced agentic AI systems, including tool-using agents capable of planning, multi-step reasoning, and autonomous task execution.
  • Experience working in consumer or B2C environments, SaaS, or enterprise and B2B products.
Qualification wording
Proficiency in SQL and experience with Spark and cloud-based data environments such as AWS or Databricks.
Experience building, deploying, and scaling machine learning models for business applications using large, complex datasets.
Strong communication skills, including the ability to explain data science concepts to diverse audiences and tell compelling, data-driven stories.
Experience fine-tuning, post-training, and optimizing state-of-the-art large language models, embedding models, and ranking models.
Experience developing and evaluating advanced agentic AI systems, including tool-using agents capable of planning, multi-step reasoning, and autonomous task execution.
Experience working in consumer or B2C environments, SaaS, or enterprise and B2B products.
Education & alternatives
On your first day, we’ll expect you to have - A bachelor’s or master’s degree in computer science or a related field, or equivalent practical experience. - At least five years of relevant industry experience in machine learning, data science, or a related discipline.

Tools in this posting

  • Java
  • Kotlin
  • Python
  • SQL
  • AWS
  • Spark
  • TypeScript
  • Databricks
Source — Tool mentions in context
- At least five years of relevant industry experience in machine learning, data science, or a related discipline. - Strong programming skills in Python and one or more production languages such as Java, Kotlin, or TypeScript. - Proficiency in SQL and experience with Spark and cloud-based data environments such as AWS or Databricks.
- Strong programming skills in Python and one or more production languages such as Java, Kotlin, or TypeScript. - Proficiency in SQL and experience with Spark and cloud-based data environments such as AWS or Databricks. - Experience building, deploying, and scaling machine learning models for business applications using large, complex datasets.

Benefits in the posting

Full benefits wording
  • 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.

From the employer’s posting.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team.

In the employer’s words · Read in context

Job description

View original posting ↗

Overview

Atlassian is a global leader in team collaboration and productivity software, empowering teams to unleash their potential and achieve remarkable results. Our suite of tools, including Jira, Confluence, Trello, Bitbucket, and Rovo, is trusted by millions of users worldwide to plan, track, and manage their work effectively. At Atlassian, we are dedicated to building innovative tools and technologies that drive the future of work. 

We are looking for a Principal Machine Learning Engineer to join our Search & Intelligence organization. The team builds Atlassian’s flagship AI products, including agentic search and chat, long-horizon agents, and capabilities that enrich Atlassian’s Teamwork Graph. We also develop the frameworks, models, and infrastructure that accelerate AI feature development across the company.

Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

Responsibilities

What you’ll do

As a Principal Machine Learning Engineer, you will lead the development and implementation of cutting-edge machine learning algorithms and sophisticated models that power AI capabilities across Atlassian’s products and services. You will collaborate closely with product, engineering, and analytics teams to translate complex business and customer needs into impactful solutions.

Your responsibilities will span designing system and model architectures, leading rigorous experimentation and evaluation, and providing technical mentorship to emerging ML engineers. Beyond these core responsibilities, you will help shape our AI strategy and ensure its transformative potential is realized across Atlassian.

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: $236,700 - $309,025

Zone B: $213,030 - $278,123

Zone C: $196,461 - $256,491

Qualifications

On your first day, we’ll expect you to have

  • A bachelor’s or master’s degree in computer science or a related field, or equivalent practical experience.

  • At least five years of relevant industry experience in machine learning, data science, or a related discipline.

  • Strong programming skills in Python and one or more production languages such as Java, Kotlin, or TypeScript.

  • Proficiency in SQL and experience with Spark and cloud-based data environments such as AWS or Databricks.

  • Experience building, deploying, and scaling machine learning models for business applications using large, complex datasets.

  • Strong communication skills, including the ability to explain data science concepts to diverse audiences and tell compelling, data-driven stories.

  • A pragmatic, business-focused approach. You hold a high bar for quality while applying the 80/20 principle and recognizing when delivering a valuable solution today is better than pursuing perfection later.

  • An agile mindset and an appreciation for continuous iteration, learning, and improvement.

It’s great, but not required, if you have

  • Experience fine-tuning, post-training, and optimizing state-of-the-art large language models, embedding models, and ranking models.

  • Experience developing and evaluating advanced agentic AI systems, including tool-using agents capable of planning, multi-step reasoning, and autonomous task execution.

  • Experience working in consumer or B2C environments, SaaS, or enterprise and B2B products.

  • A track record of solving ambiguous and complex problems by navigating uncertainty, breaking challenges into manageable components, and developing innovative, practical solutions.

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

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on careers-americas.icims.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
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: $236,700 - $309,025 Zone B: $213,030 - $278,123
More source context
Zone A: $236,700 - $309,025 Zone B: $213,030 - $278,123 Zone C: $196,461 - $256,491

More relevant text appears in the full description.

Location & working pattern

Seattle, WA

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Status in our records
Active
First seen by us
Sep 15, 2026
Recorded sightings
35
Last seen by us
Oct 8, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.