Design, develop, train, optimize, and deploy machine learning models, including NER, personalization, predictive, and LLM fine-tuning systems. Collaborate with engineering, product, and analytics teams to integrate AI features into Atlassian products. Conduct experimentation, evaluate model performance, monitor product metrics, and improve scalability and reliability. Contribute to foundational model development and advanced AI initiatives while communicating findings to senior leaders.
Engineering | San Francisco, United States | Remote, Remote
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.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit
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.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit
Atlassian San Francisco, California, USA Office
Atlassian believes the future of work is distributed and offers our people the flexibility to help them do what’s important to them. And with few exceptions, we hire people anywhere we have a legal entity as long as they have eligible work rights and sufficient team time zone overlap.
Atlassian Mountain View, California, USA Office
301 E Evelyn Ave., Mountain View, CA, United States, 94041
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