Principal Machine Learning System Engineer

Women are 16% less likely than men to apply to a job once they’ve viewed it, but are 16% more likely to get hired after applying to a job.*

*LinkedIn Talent Solutions Gender Insights Report 2019

As a Senior Software Engineer in the Central AI team, you will build and maintain the core infrastructure to allow Machine Learning engineers and data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines. You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges.

You will have the opportunity to lead other engineers to drive involved projects from technical design to launch. You will also collaborate with other teams and internal customers to set expectations, gather input and communicate results.

5+ years of experience as a software developer.

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

Experience with Continuous Delivery and Continuous Integration.

Experience building and operating large scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking).

Experience with distributed large-scale data processing (preferably Apache Spark).

Basic understanding of Machine Learning projects lifecycle.

Expert-level with search platform, deep learning training/inference platfrom.

Experience with Databricks.

Experience with scaling and deploying Machine Learning models.

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.

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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

"I've always brought my whole self to work. I haven't felt pressured to change or sacrifice myself in order to get ahead in my career. And, that's a message I carry to other women pursuing engineering careers. I’m a woman who likes football, going to the beach, sewing and engineering. Through participating in panels, networking events, and school tours, I get the chance to help break down stereotypes about engineering careers and the "types" of people who pursue them. It’s okay to be completely yourself and an engineer"