AM
AmericasPrincipal Machine Learning Engineer
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Before you apply
Salary$196k – $309k
LocationSan Francisco, CA, US
Work modehybrid
Typefull-time
SeniorityLead
DepartmentEngineering
EquityIncluded
Company size10,000+ people
PostedOct 31, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Ability to innovate core intelligence solutions within DevAI products
Experience with LLM integration, prompt engineering, and developing end-to-end AI features
Problem Solving: Identify complex challenges and provide creative solutions
Collaboration: Work with cross-functional teams
Communication: Communicate technical details effectively
Continuous Learning: Stay updated with latest research in machine learning and AI
Design and Development: Design LLM based methodology and algorithms
Data Handling: Perform data preprocessing and feature engineering
Evaluation: Conduct experiments to evaluate performance of products
Implementation and Optimization: Implement and optimize machine learning pipelines
Monitoring and Maintenance of deployed intelligence solutions
Identity verification (which may include use of biometric data) for employment fraud purposes
Skills
LLM
Python
AI
Benefits
Health insurance
Paid volunteer days
Overview
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
As part of our team, you will play a crucial role in innovating the core intelligence solutions within our DevAI products. Your responsibilities will include (but not limited to) LLM integration, prompt engineering, and developing end-to-end AI features using cutting-edge technologies. You will collaborate closely with a diverse and highly skilled group of scientists and software engineers within our team, as well as with multiple partner teams across the company. Together, we are committed to delivering Atlassian’s world-class developer AI products that will shape the future of software development.
Responsibility
General Responsibilities
These are ongoing or overarching tasks that guide the strategic and collaborative aspects of the role:
•
Problem Solving: Identify complex challenges and provide creative solutions to advance the capabilities and functionalities of the products.
•
Collaboration: Work with cross-functional teams, including data scientists and software engineers. Build and maintain sustainable partnerships with team members from various technical backgrounds.
•
Communication: Communicate technical details effectively to the team and engage in technical discussions to contribute ideas and solutions.
•
Continuous Learning: Stay updated with the latest research and advancements in machine learning, AI, and relevant technology applications. Apply cutting-edge knowledge and techniques to enhance product innovation and effectiveness.
Daily Responsibilities
These tasks are more routine or technical, involving hands-on activities that need to be performed regularly:
•
Design and Development: Design LLM based methodology and algorithms tailored to specific product needs.
•
Data Handling: Perform data preprocessing and feature engineering to improve product inputs and performance.
•
Evaluation: Conduct experiments to evaluate the performance of products and use a variety of metrics and testing methods to ensure the solutions meet design specifications.
•
Implementation and Optimization: Implement and optimize machine learning pipelines.
•
Monitoring and Maintenance the deployed intelligence solutions to ensure they continue to perform accurately and efficiently.
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.
Benefits
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
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.
Legal
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.