Machine Learning Architect

5 days ago

Sydney, New South Wales, Australia Atlassian Full time

About Atlassian

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.

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 are a distributed-first company, which means that we can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually.

Job Description

We are looking for a Principal Machine Learning Engineer to join our IT Service Management (ITSM) team. As a key member of this team, you will have the opportunity to work on cutting-edge AI and ML algorithms that help modernize IT Operations by reducing MTTR (mean time to resolve), and MTTI ( Mean time to identify).

You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. You will also lead engineers to drive involved projects from technical design to launch and collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

  • Work with a distributed, world-class team shaping the future of AIOps.
  • Delve into the world of generative models, exploring their potential to detect anomalies, automate responses, and personalize remediation plans.
  • Hone your skills in both supervised and unsupervised learning, constructing algorithms that analyze mountains of data to uncover hidden patterns and optimize system performance.
  • Partner with a brilliant team of engineers, data scientists, and researchers, cross-pollinating ideas and learning from each other's expertise.

Your work will directly influence the reliability and performance of Atlassian's critical software, driving customer satisfaction and propelling our business forward.

Routinely tackle complex architectural challenges, spar with other principal engineers to build ML pipelines and models that scale for thousands of customers.

Mentor junior engineers, guide projects, and partner across engineering teams to take on company-wide initiatives spanning multiple projects.

Required Skills and Qualifications

To be successful in this role, you will need:

  • 10+ years of total experience.
  • Fluency in at least 1 scripting, OOP language.
  • Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, and NLP.
  • Familiarity with popular ML libraries like sci-kit-learn, Keras/TensorFlow/PyTorch, numpy, pandas.
  • Good understanding of Machine Learning project lifecycle.
  • Familiarity with MLOps and experience with scaling and deploying Machine Learning models.

It would be great if you have experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks), MLOps tools (MLflow, Tecton, Pinecone, Feature Stores), AIOps or related fields like IT automation or incident management, or building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking).

We offer 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.

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