Senior Machine Learning Engineer, Central AI, Atlassian

Senior Machine Learning Engineer, Central AI

Atlassian

Location:

Canada, Canada

Category:

IT - Software Development

Contract Type:

Not provided

Salary:

Not provided

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Job Description:

Atlassian's Central AI organization is on a mission to revolutionize AI innovation across all our products and platforms. Our goal is to deliver cohesive AI experiences and establish a robust AI infrastructure that will propel Atlassian into the future. Central AI is pivotal in building the essential infrastructure and capabilities that ensure seamless integration and optimal functionality of AI across various Atlassian products...

Job Responsibility:

development and implementation of the cutting edge machine learning algorithms
training sophisticated models
collaborating with product, engineering, and analytics teams
build the AI functionalities into each Atlassian products and services
designing system and model architectures
conducting rigorous experimentation and model evaluations
providing guidance to junior ML engineers

Requirements:

Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
3+ years of related industry experience in the data science domain
Expertise in Python or Java with and the ability to write performant production-quality code
familiarity with SQL
knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences
craft a compelling story
Focus on business practicality and the 80/20 rule
very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
Agile development mindset, appreciating the benefit of constant iteration and improvement

Nice to have:

Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
Experience in developing deep learning-based models and working on LLM-related applications
Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions

What we offer:

health coverage
paid volunteer days
wellness resources

Additional Information:

Job Posted:

March 19, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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