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Principal Machine Learning Systems Engineer - Search & Intelligence

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 setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting
Employment
Not stated

What you’ll work on

Full posting
  • Lead development of ML algorithms and models behind Atlassian's AI capabilities

  • Design system and model architectures

  • Lead rigorous experimentation and evaluation

  • Provide technical mentorship to emerging ML engineers

  • Help shape the company's AI strategy

From the employer’s posting
you will lead the development and implementation of cutting-edge machine learning algorithms and sophisticated models
designing system and model architectures
leading rigorous experimentation and evaluation
providing technical mentorship to emerging ML engineers
help shape our AI strategy

What you’ll bring

All qualifications

Core experience

  • At least 5 years of industry experience in ML, data science, or related field
  • Strong Python plus one production language such as Java, Kotlin, or TypeScript
  • Proficiency in SQL, Spark, and cloud data environments like AWS or Databricks
  • Experience building, deploying, and scaling ML models on large, complex datasets
  • Bachelor's or master's in computer science or related field, or equivalent experience
Qualification wording
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.
A bachelor’s or master’s degree in computer science or a related field, or equivalent practical experience.
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.

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

Apply at Atlassian

Posting record

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Status in our records
Live
First seen by us
Sep 15, 202652 days ago
Recorded sightings
106
Last seen by us
Nov 6, 2026

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

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,319 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 52

Similar jobs usually come down between day 6 and day 71.

Well past Atlassian’s usual: its jobs come down by about day 25.

From 4,633 similar postings that came down, and 26 of Atlassian’s. Coming down is not always a hire.

Atlassian is hiring

48 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • ML Engineer hiring is steady
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Kotlin
  • Python
  • SQL
  • TypeScript
  • AWS
  • Databricks
  • Spark
Where the posting names them
- 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.

Your next step

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

Applying through iCIMS

  • You start with your email. New applicants then create a login, and returning ones sign in.
  • Upload your resume before you fill anything in: iCIMS fills some profile fields from it.
  • Check your status on the employer’s iCIMS Dashboard, under Past Job Submittals.

Already applied? Track this application

About Atlassian

People
About 13,301 in 2026, down 4% from the year before.Annual report (SEC Form 10-K)
Company
Listed as TEAM.

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 624, the most 1,094, and the latest week had 870.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

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.

Source details

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Source excerpts

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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.

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