Engineering | Seattle, United States | Remote, Remote | San Francisco, United States | Mountain View, United States or Remote
Atlassian is looking for a Senior Machine Learning Engineer to join our Search & Intelligence organization. Our team builds the intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines that power Atlassian's AI products and accelerate AI innovation across the company.
Working at AtlassianAtlassians 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.
Your role and impactAs a Senior Machine Learning Engineer, you will lead the development and productionization of advanced machine learning systems that improve how people discover, understand, and act on knowledge across Atlassian. You will work across the full machine learning lifecycle, from problem definition and data exploration to model development, experimentation, evaluation, deployment, and ongoing optimization.
You will partner closely with product managers, software engineers, data scientists, and other technical stakeholders to translate ambiguous product challenges into scalable AI solutions. You will contribute to architectural decisions, raise engineering and scientific standards, and mentor other machine learning engineers.
Your work will help deliver intelligent search, recommendations, conversational experiences, and other AI capabilities used by Atlassian customers worldwide.
What you'll do- Lead the design, development, and implementation of state-of-the-art machine learning algorithms and models for production environments.
- Own machine learning projects from initial concept through production deployment, measurement, and continuous improvement.
- Develop scalable data and modeling approaches using large, complex datasets.
- Design robust system and model architectures that meet requirements for quality, latency, scale, reliability, privacy, and cost.
- Build and improve machine learning solutions across areas such as information retrieval, search ranking, personalization, natural language processing, deep learning, and large language model applications.
- Design and execute rigorous experiments, offline evaluations, online tests, and error analyses to measure model quality and product impact.
- Collaborate with product, engineering, data science, analytics, and platform teams to integrate AI capabilities into Atlassian products and services.
- Translate research and emerging AI techniques into reliable, maintainable, production-quality systems.
- Identify opportunities to improve model performance, operational efficiency, developer experience, and customer outcomes.
- Communicate technical decisions, trade-offs, results, and recommendations clearly to both technical and non-technical audiences.
- Mentor and support machine learning engineers, contribute to technical strategy, and help establish best practices across the organization.
- Contribute to a culture of experimentation, continuous learning, inclusive collaboration, and iterative delivery.
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
