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Principal Machine Learning Engineer

Atlassian

Mountain View, CAJob$196–309K/yrPosted 2w agoStill listed today

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At a glance

Compensation
$196–309K/yr
Location
Mountain View, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Principal Machine Learning Engineer will lead the development and implementation of machine learning systems for Atlassian products. The role includes designing architectures, developing and deploying production models, evaluating experiments, and guiding engineers. The engineer will work across product and engineering teams, shape technical direction across projects, and help integrate AI capabilities into products and platforms.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningModel BuildingData AnalysisTechnical ManagementCollaborationMentorship

Benefits

Paid Time Off

Full job description

Overview

As a Principal Machine Learning Engineer, you will drive the development and implementation of cutting-edge machine learning algorithms, training sophisticated models, and collaborating with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks — designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers. Your role is pivotal, ensuring AI's transformative potential is realized across our offerings.

Responsibilities

Technical Leadership & Execution

  • Drive complex decisions that impact the work of teams and change their technical direction over multiple quarters

  • Regularly tackle the largest and most complex problems on the team, from technical design to launch

  • Set the direction of systems and capabilities, balancing progress over perfection

  • Determine plans-of-attack on large projects and solve complex architecture challenges

Model Development & Experimentation

  • Design, develop, and deploy production-grade ML models (e.g., ranking, retrieval, LLM-based systems) to optimize user experience and achieve business objectives

  • Conduct meticulous experimentation and model evaluations, backing decisions with data

  • Develop robust feature engineering practices to ingest, process, and serve features for offline training and online inference at scale

  • Oversee end-to-end deployment of ML solutions into production, ensuring continuous evaluation, monitoring, and improvement

Cross-Functional Collaboration

  • Collaborate closely with product managers, designers, and engineering teams to integrate AI/ML capabilities into products

  • Partner across engineering teams to take on company-wide programs spanning multiple projects

  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders

Mentorship & Organizational Impact

  • Mentor and guide junior and senior engineers, fostering a culture of innovation, collaboration, and continuous learning

  • Actively share knowledge and expertise through mentoring and coaching beyond direct reports

  • Contribute to programs of work that scale across the department

  • Identify, solve, and bridge gaps/problems across teams using experience and expertise

Decision Making & Direction

  • Quickly collate and analyze key decision parameters, balancing speed, risk, and impact appropriately

  • Limit ambiguity and risk by experimenting and prototyping

  • Understand how contributions of multiple capabilities fit into larger products and platforms

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 or Remote, 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

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.

How this job compares

Set against the 6,115 open Machine Learning Engineer jobs on Olive Jobs, counted November 5, 2026.

Pay
  • This posting$196–309K/yr
  • California median$177–262K/yr1,394 salary ranges
  • US median$150–245K/yr4,871 salary ranges

This range's midpoint, $253K, is 14% above the California median midpoint ($222K) — in the middle half of Machine Learning Engineer salary ranges in California.

Openings
Olive Jobs lists 1,869 open Machine Learning Engineer jobs in California and 6,115 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
Machine Learning Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (4,891 postings).
Education
2,204 of the 6,115 open Machine Learning Engineer jobs (36%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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