Principal Machine Learning Engineer
San Francisco, CAJob$196–309K/yrPosted 3 days agoStill listed today
Most applications go out cold — see where you stand first. No sign-up to start.
You apply on the employer's site, with no Olive account needed.
Watch jobs like this. New roles like this one near San Francisco, CA, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
The Principal Machine Learning Engineer will innovate core intelligence solutions for Atlassian’s DevAI products. The role focuses on integrating LLMs, engineering prompts, and developing end-to-end AI features. The engineer will work with scientists, software engineers, and partner teams to build developer AI products, while designing algorithms, preparing data, evaluating solutions, optimizing machine learning pipelines, and monitoring deployed systems.
Skills & qualifications
Skills
Full job description
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. 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. 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 6,060 open Machine Learning Engineer jobs on Olive Jobs, counted November 5, 2026.
- Pay
- This posting$196–309K/yr
- California median$177–261K/yr1,365 salary ranges
- US median$150–245K/yr4,818 salary ranges
This range's midpoint, $253K, is 14% above the California median midpoint ($221K) — in the middle half of Machine Learning Engineer salary ranges in California.
- Openings
- Olive Jobs lists 1,838 open Machine Learning Engineer jobs in California and 6,060 across the US. 8% of them nationwide are listed as remote or flexible.
- 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 (4,865 postings).
- Education
- 2,211 of the 6,060 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.
Prepare for this role
You've read the whole posting — now see how you match it.
