Principal Machine Learning Engineer

Posted 37 Minutes Ago
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Hiring Remotely in 94104, San Francisco, CA, USA
In-Office or Remote
Entry level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Atlassian provides tools to help every team unleash their full potential.
The Role
Develops end-to-end AI features for Atlassian’s developer AI products, including LLM integration, prompt engineering, machine learning algorithms, data preprocessing, feature engineering, experimentation, evaluation, pipeline optimization, and monitoring. Collaborates with data scientists, software engineers, and partner teams to solve complex problems and apply advances in AI and machine learning.
Summary Generated by Built In
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.
As part of our team, you will play a crucial role in innovating the core intelligence solutions within our DevAI products. Your responsibilities will include (but not limited to) LLM integration, prompt engineering, and developing end-to-end AI features using cutting-edge technologies. You will collaborate closely with a diverse and highly skilled group of scientists and software engineers within our team, as well as with multiple partner teams across the company. Together, we are committed to delivering Atlassian's world-class developer AI products that will shape the future of software development.
Responsibility
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.
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What the Team is Saying

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Atlassian Compensation & Benefits Highlights

  • Parental & Family Support — Parental support is highlighted through generous paid leave for birthing and non-birthing parents, plus fertility, adoption, and surrogacy benefits. Family-building coverage also includes IVF and fertility preservation.
  • Healthcare Strength — Healthcare is described as comprehensive, spanning medical, dental, vision, disability and life insurance, HSA/FSA access, and extensive mental-health resources. Support includes counseling and crisis services.
  • Retirement Support — Retirement benefits are noted as a standout feature in the U.S., including a company 401(k) match with immediate vesting. This structure supports long-term savings as part of total compensation.

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The Company
HQ: San Francisco, CA
11,000 Employees
Year Founded: 2012

What We Do

Atlassian creates teamwork solutions for high-performing teams. Our portfolio of collaboration and work management software products includes Jira, Confluence, Trello, Loom and Rovo. More than 300,000 businesses worldwide rely on Atlassian’s technology, including 80 percent of Fortune 500 companies. Our solutions support various business teams and they help organizations plan, track, and deliver their biggest ideas together.

Why Work With Us

At Atlassian, we believe we can accomplish so much more together than apart — which is why everything from our tooling — to our distributed workforce — to how our teams are structured is rooted in collaboration. Come join us and help unleash the potential of every team.

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Employees work remotely.

Atlassians have flexibility in where they work to support their family, personal goals, and other priorities. Our approach to distributed work allows us to tap into talent beyond our office locations, and to reimagine how work gets done.

Typical time on-site: None
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