Senior Machine Learning Systems Engineer

Atlassian; City of Melbourne; Hybrid; AUD 150,000 - 230,000; Full time

Benefits offered by this job

Health and wellbeing resources

Paid volunteer days

Access to Atlassian perks & benefits

Job summary

Atlassian in Melbourne is seeking a Senior Machine Learning System Engineer to help build and refine the core ML infrastructure powering Jira, Confluence, and Bitbucket. You will design scalable ML pipelines, train and deploy models, and enable product teams to ship AI features safely and efficiently.

You will collaborate with cross-functional teams within the Central AI Org to deliver robust ML systems, mentor engineers, and drive projects from design through launch, while upholding Atlassian's

Qualifications

• 6+ years software engineering experience with 2+ years in ML infra/Platform.
• Experience building end-to-end ML systems from data ingest to model serving.
• Design for scalable, fault-tolerant distributed ML systems.

Responsibilities

• Develop core ML infrastructure for Atlassian products.
• Collaborate with Jira and Confluence teams to tailor ML solutions.
• Lead projects from design to launch and mentor juniors.

Skills

Python

ML Infrastructure

Distributed Systems

CI/CD

Mentoring

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

TensorFlow

JAX

Go/Java/Scala

Job description

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.

Overview

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.

In this role, you will be joining the Central AI Org and more specifically the AI & ML Platform team.

About Central AI Org

• Develop horizontal AI capabilities and infrastructure that can be leveraged across all products.
• Establish a centralized Search, Q&A, and Conversational AI system that integrates seamlessly with all Atlassian products.
• 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.

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

About This Role

As a Senior Machine Learning 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 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.

Qualifications

• 6+ years of general software engineering experience with 2+ years in building Machine Learning and AI infra/Platform/Systems
• Comprehensive ML lifecycle expertise: Proven experience developing, deploying, and maintaining end-to-end ML systems, from data engineering to model serving and monitoring.
• Large-scale system design: Extensive experience designing and building scalable, fault-tolerant, and high-performance distributed systems for machine learning.
• Proficiency with frameworks and languages: Good proficiency in Python and familiarity with ML frameworks like PyTorch, TensorFlow, or JAX. Bonus if you have worked with other languages like Go, Java, or Scala.
• MLOps and automation: Some experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models.

It would be great, but not required if you have

• Cloud infrastructure: Hands-on expertise with major cloud platforms such as AWS, GCP, or Azure, including their specific AI/ML services and compute resources like GPUs.
• Big data processing: Experience with distributed computing frameworks for large-scale data processing, such as Spark, Ray, or Dask.
• Performance optimization: A demonstrated ability to diagnose and solve complex performance and optimization problems for ML models and infrastructure.
• Generative AI systems: Experience with GenAI frameworks and tools, including developing and fine-tuning large language models (LLMs) and building retrieval-augmented generation (RAG) systems.

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.