Senior ML System Engineer

Atlassian; Amsterdam; On-site; EUR 172,000 - 229,000; Full time

Job summary

Atlassian is seeking a Senior ML System Engineer for the Rovo GenAI Platform team in Amsterdam. You will build and maintain the core infrastructure enabling ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines powering GenAI products.

You will lead other engineers on technical design to launch, and collaborate with cross-functional teams to align expectations and share results.

Qualifications

• 5+ years of experience as a software developer.
• Fluency in at least one modern object-oriented programming language (Java/Kotlin/Python).
• Experience with Continuous Delivery and Continuous Integration.
• Experience building and operating large scale distributed systems using AWS services (S3, Kinesis, CloudFormation, EKS, Security/Networking).
• Experience with distributed large-scale data processing (Apache Spark).
• Basic understanding of Machine Learning projects lifecycle.

Responsibilities

• Build and maintain the core infrastructure to enable ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines.
• Power GenAI products and platforms with reliable, scalable infrastructure.
• Lead other engineers on technical design to launch and collaborate with cross-functional teams to align expectations and communicate results.

Skills

Java/Kotlin

Python

CI/CD

AWS

Apache Spark

ML lifecycle

Tools

Databricks

Job description

As a Senior ML System Engineer in the Rovo GenAI Platform 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, and power the GenAI products in Atlassian. 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.

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: $199,400 - $265,800
• Zone B: $179,400 - $239,200
• Zone C: $165,500 - $220,600

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

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

• 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.

It would be great, but not required if you have

• Expert-level with search platform, deep learning training/inference platfrom.
• Experience with Databricks.
• Experience with scaling and deploying Machine Learning models.