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Senior Machine Learning Engineer

Atlassian · Remote · Full-time · San Francisco - United States - San Francisco, California 94104 United States, Remote - Remote

Posted (15h ago)

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Employer posted
First seen here
Repost check
Same job ID since we first saw it on Oct 27, 2026. If Atlassian reposts it, we keep the original posting date.
Pay
$276k a year (from the description)
Level
Senior
Work setup
Remote
Tech mentioned
LLMs, Spark, AWS, Azure, Python, Java, SQL
Atlassian hiring
88 roles posted in the last 30 days

Job description

Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Design, develop, and train cutting-edge world class machine learning models (including NER, personalization, prediction, and LLM fine-tuning) to power Atlassian products. Ship production-ready ML systems by collaborating with engineering, product, and analytics teams to integrate AI features into Atlassian services as well as performing machine learning model optimization techniques and writing production quality code. Conduct experimentation and model evaluation, ensuring performance, scalability, and reliability of deployed models. Define and monitor product metrics, using data analysis to guide improvements and measure impact. Contribute to Atlassian's next-gen AI initiatives, including foundational model development and researching and advancing the state of ML techniques to land new unique features for Atlassian's AI offerings. Communicate findings and recommendations to senior leaders through clear presentations and insights. 40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m. Salary: $276,200/yr. MINIMUM REQUIREMENTS: Master's degree or foreign equivalent degree in Computer Science, Electrical Engineering, or a related field of study, and three (3) years of related work experience. Must have three (3) years of experience with/in: Spark and Cloud data environments (AWS, Databricks, or Azure) Building and scaling machine learning models using large amounts of data Utilizing Python or Java to write performant production-quality code Anomaly detection for dataset analysis for the purpose of training, validating, and shipping machine learning models Agile development practices SQL BI tooling using Tableau, Excel, Power BI, or Looker 100% Telecommuting is permitted. Please email resume to: [email protected] and must reference Job code: "CA013" to be considered Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian 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. To learn more about our culture and hiring process, visit go.atlassian.com/crh . In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

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Atlassian job ID: 27821

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