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Atlassian

Principal Machine Learning Engineer

Posted 14 Days Ago
In-Office or Remote
Hiring Remotely in Mountain View, CA, USA
174K-274K Annually
Expert/Leader
In-Office or Remote
Hiring Remotely in Mountain View, CA, USA
174K-274K Annually
Expert/Leader
Lead design and deployment of production-grade ML systems (ranking, retrieval, LLMs). Drive architecture decisions, run experiments and evaluations, build scalable feature pipelines and monitoring, mentor engineers, and collaborate cross-functionally to integrate AI into products and scale ML capabilities.
The summary above was generated by AI
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.
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

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.
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: $209,700 - $273,775
Zone B: $188,730 - $246,398
Zone C: $174,051 - $227,233
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.
HQ

Atlassian San Francisco, California, USA Office

Atlassian believes the future of work is distributed and offers our people the flexibility to help them do what’s important to them. And with few exceptions, we hire people anywhere we have a legal entity as long as they have eligible work rights and sufficient team time zone overlap.

Atlassian Mountain View, California, USA Office

301 E Evelyn Ave., Mountain View, CA, United States, 94041

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