Machine Learning System Engineer

About Atlassian

Atlassian's mission, "to unleash the potential of every team," serves as the foundation of everything we do. We have developed well-known collaborative products, such as Jira, Confluence, and Bitbucket, that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed.

Atlassian helps teams everywhere change the world. Our products power revolutions across many industries, enabling teams to collaborate effectively and achieve their highest potential. Take, for example, NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear. Your work directly impacts the products they use to promote humanity.

About Central AI Org

Our organization is dedicated to driving AI innovation across all Atlassian products and platforms. We aim to deliver seamless AI experiences while establishing a robust Atlassian AI infrastructure for the future. Our purpose is to:

1. Develop horizontal AI capabilities and infrastructure that can be leveraged across all products.

2. Establish a centralized Search, Q&A, and Conversational AI system that integrates seamlessly with all Atlassian products.

3. Explore the integration of Atlassian products with AI solutions beyond the Atlassian ecosystem.

About AI & ML Platform Team

Our team’s goal is to build the foundations to democratize AI and Machine Learning for Atlassian’s teams, customers, and ecosystem. We aim to build productive and reliable tools that empower Atlassian teams to harness the power of AI. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences.

Our tools are designed to integrate seamlessly with other Atlassian platforms, including the Atlassian Data Platform. This integration enables teams to efficiently and swiftly incorporate AI and ML capabilities into their workflows while strictly adhering to all security and data usage policies. Our primary goal is to deliver a smooth and hassle-free experience for Atlassian users, empowering them to harness the potential of AI and ML without any complications.

About This Role

As a ML System Engineer on the AI & ML Platform team, you will play a pivotal role in developing and refining the core infrastructure that empowers all Atlassian software engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage Machine Learning models and pipelines.

You will collaborate closely with product teams, such as Jira and Confluence, to solve their specific challenges in building ML solutions. This may involve curating high-quality ML datasets, fine-tuning open-sourced Large Language Models (LLMs), or accessing proprietary LLMs. Your expertise in both ML and software development expertise will be instrumental in overcoming challenging problems and navigating complex infrastructure and architectural issues.

This position offers you the chance to lead projects from the technical design phase all the way to launch. You will partner with various teams and internal stakeholders to achieve impactful results.

In this role, you'll get the chance to:

• Collaborate with your teammates to solve complex problems, from technical design to launch.

• Deliver cutting-edge solutions that are used by other Atlassian teams and products to build AI features that reach millions of customers.

• Deliver code reviews, documentation & bug fixes within a strong engineering culture

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

• Mentor junior members of the team.

On your first day, we’ll expect you to have

• Experience in building machine learning systems or ML infra / MLOps platform

• Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin and Python).

• Experience with RESTful microservices.

• Experience using cloud tools such as Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking).

• Experience with Continuous Delivery and Continuous Integration.

It would be great, but not required if you have

• Experience with ML pipelines and large datasets

• Experience with at least one ML framework

• Experience in optimizing the training or serving ML models

• SQL knowledge, query tuning, schema design, and ETL processes.

• Experience with Databricks or Apache Spark.

• Experience with Amazon Sagemaker.

• Experience with scaling and deploying Machine Learning models.

• Experience with using LLMs.

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. 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: $173,300 - $231,100

Zone B: $156,000 - $208,000

Zone C: $143,900 - $191,800

This role may also be eligible for benefits, bonuses, commissions, and equity.

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.

Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

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.