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Principal Machine Learning Systems Engineer

2 months ago

Sydney, New South Wales, Australia Atlassian Full time
About the Role

We are seeking a highly skilled Principal Machine Learning Systems Engineer to join our Central AI team at Atlassian. As a key member of our organization, you will play a critical role in building and maintaining the core infrastructure for machine learning engineers and data scientists to develop, train, evaluate, deploy, and operate machine learning models and pipelines.

Key Responsibilities
  • Design and Develop Infrastructure: You will use your software development expertise to design, develop, and maintain the underlying infrastructure for machine learning models and pipelines, ensuring scalability, reliability, and performance.
  • Lead Technical Projects: You will lead technical projects from design to launch, collaborating with cross-functional teams to drive innovation and deliver high-quality results.
  • Collaborate with Stakeholders: You will work closely with other teams and internal customers to set expectations, gather input, and communicate results, ensuring seamless integration and optimal functionality of AI across various departments.
  • Stay Up-to-Date with Industry Trends: You will stay current with the latest advancements in machine learning, distributed systems, and cloud computing, applying this knowledge to drive innovation and improvement in our infrastructure.
Requirements
  • 5+ Years of Experience: You will have at least 5 years of experience as a software developer, with a strong background in object-oriented programming languages, such as Java, Kotlin, or Python.
  • Cloud Computing Experience: You will have experience building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking).
  • Distributed Systems Experience: You will have experience with distributed large-scale data processing, preferably using Apache Spark.
  • Machine Learning Experience: You will have a sound understanding of machine learning projects lifecycle and experience with building and operating machine learning models.
Preferred Qualifications
  • Expert-Level Experience: You will have expert-level experience with search platforms, deep learning training/inference platforms, and experience with scaling and deploying machine learning models.
  • Databricks Experience: You will have experience with Databricks and knowledge of its capabilities and limitations.
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.