This is a senior machine learning engineering role at Atlassian, but the job description contains no specific responsibilities or qualification details. The position offers flexible work arrangements where Atlassian has a legal entity and includes location-based compensation, benefits, bonuses, commissions, and potential equity.
Engineering | Seattle, 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.
Responsibilities
General Responsibilities: These are ongoing or overarching tasks that guide the strategic and collaborative aspects of the role:
Daily Responsibilities: These tasks are more routine or technical, involving hands-on activities that need to be performed regularly:
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.
Responsibilities
General Responsibilities: These are ongoing or overarching tasks that guide the strategic and collaborative aspects of the role:
- Problem Solving: Identify complex challenges and provide creative solutions to advance the capabilities and functionalities of the products.
- Collaboration: Work with cross-functional teams, including data scientists and software engineers. Build and maintain sustainable partnerships with team members from various technical backgrounds.
- Communication: Communicate technical details effectively to the team and engage in technical discussions to contribute ideas and solutions.
- Continuous Learning: Stay updated with the latest research and advancements in machine learning, AI, and relevant technology applications. Apply cutting-edge knowledge and techniques to enhance product innovation and effectiveness.
Daily Responsibilities: These tasks are more routine or technical, involving hands-on activities that need to be performed regularly:
- Design and Development: Design LLM based methodology and algorithms tailored to specific product needs.
- Data Handling: Perform data preprocessing and feature engineering to improve product inputs and performance.
- Evaluation: Conduct experiments to evaluate the performance of products and use a variety of metrics and testing methods to ensure the solutions meet design specifications.
- Implementation and Optimization: Implement and optimize machine learning pipelines.
- Monitoring and Maintenance the deployed intelligence solutions to ensure they continue to perform accurately and efficiently.
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 Bellevue, Washington, USA Office
10900 NE 4th St, Bellevue, WA, United States, 98004
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