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Senior ML System Engineer
Career Insights for Machine Learning Engineer
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Scorecard
Based on Illinois data
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$125,699 / year median in Illinois
Job Description
CompensationAt 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
•$220,600This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. 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.
On your first day, we'll expect you to have5+ 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 haveExpert-level with search platform, deep learning training/inference platfrom.
Experience with Databricks.
Experience with scaling and deploying Machine Learning models.
Benefits
- Dental Insurance