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# Senior Machine Learning Engineer

- **Company:** Atlassian
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $276,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Microsoft Excel, Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Database, Python (Programming Language), Machine Learning, Named Entity Recognition, Power BI, Standard Sql, Tableau (Software), Business Intelligence Development Studio, Transfer Learning, Apache Spark, Model Validation, Information Technology, Atlassian Tools, Machine Learning Operations, Looker Analytics, Databricks
- **Published:** October 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-machine-learning-engineer-san-francisco-ca--4279901c-7ccf-4622-bb66-ff7724d7dbe8

## About the Role

Machine Learning, Legal, Data Analysis, Artificial Intelligence (AI), Machine Learning, Metrics, Communication Skills, Compensation and Benefits, Electrical Engineering, Computer Science, 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

## Description

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.