Job Description
Job Overview
As a Senior Machine Learning System Engineer at Atlassian, you will play a pivotal role in developing and refining the core infrastructure that empowers software engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage Machine Learning models and pipelines. This position allows you to lead projects from the technical design phase to launch while collaborating closely with product teams to address their specific challenges in building ML solutions.
Technical Requirements
Required Skills
- • Machine Learning systems
- • ML infrastructure
- • MLOps platform
- • object-oriented programming languages
- • RESTful microservices
- • cloud tools
Preferred Skills
- • ML pipelines
- • large datasets
- • ML framework
- • optimizing ML models
- • SQL
- • Databricks
- • Apache Spark
- • Amazon Sagemaker
- • scaling ML models
- • using LLMs
Experience Level
Senior level with significant experience in building machine learning systems and infrastructure.
Responsibilities
- • Collaborate with teammates to solve complex problems from technical design to launch
- • Deliver cutting-edge solutions for AI features used by millions of customers
- • Conduct code reviews, documentation, and bug fixes
- • Partner across engineering teams for company-wide initiatives
- • Mentor junior team members
Benefits & Perks
- • Health and wellbeing resources
- • Paid volunteer days
- • Bonuses
- • Equity
Additional Information
- Location
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Seattle, United States; Remote; San Francisco, United States; New York, United States; Austin, United States
- Type
-
Full-Time
- Compensation
-
Base pay ranges from $165,500 to $265,800 depending on geographic pay zone and candidate's skills and experience.