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- Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where they have a legal entity; interviews and onboarding are conducted virtually as part of being a distributed-first company. - The role is a machine learning system engineer in the Central AI team, responsible for building and maintaining the core infrastructure that lets ML engineers and data scientists develop, train, evaluate, deploy, and operate models and pipelines. - The position involves applying software development expertise to solve complex infrastructure and architecture challenges, and may include leading other engineers from technical design to launch, plus collaboration with other teams to gather input and communicate results. - Central AI is part of the Atlassian Intelligence program, aimed at accelerating AI innovation, providing cohesive AI experiences, and establishing AI infrastructure for the future, with federated product teams handling most initiatives while Central AI builds the underlying infrastructure. - Central AI works to prevent silos by offering a unified foundation for AI across departments and developing core shared experiences such as search, knowledge discovery, and conversation.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires people in any country where the company has a legal entity. - The Senior Machine Learning Scientist will join the Central AI team based in Bellevue, WA, which builds the infrastructure, data pipelines, frameworks, and models to accelerate AI feature development across the company. - Central AI is part of the Atlassian Intelligence program and aims to accelerate AI innovation, provide cohesive AI experiences, and establish the AI infrastructure for the future. - While most AI initiatives will be developed by federated product teams, Central AI supplies the underlying capabilities and shared experiences (such as search, knowledge discovery, and conversation) to prevent silos. - The role involves designing system and model architectures, conducting experiments and evaluations, training models, collaborating with product, engineering, and analytics teams, and guiding junior ML engineers to realize AI's potential across Atlassian's offerings.

Atlassian supports flexible work locations and hires globally, with virtual interviews and onboarding as part of its distributed-first approach. This is a remote position that requires you to be located in the Pacific Standard Time Zone to help teams collaborate effectively. The role is Principal Program Manager (Technical) on the CTO Strategic Initiatives team, focused on leading high-impact engineering recruiting efforts with a data-driven approach. You will manage complex, end-to-end strategic programs, deeply understand the engineering landscape, and build strong relationships with senior leadership and cross-functional teams. Responsibilities include executing strategic programs to optimize outcomes for customers and align with recruiting initiatives, developing program plans and KPIs, translating business requirements into technical specs for the internal interview tool, providing regular updates, and enhancing Atlassian's engineering brand to attract top talent.

Atlassian offers flexible work options (office, home, or a hybrid) and hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. The Your Future Org Intern program combines hands-on technical training, professional growth, dedicated mentorship, and strong social connections to prepare interns for a successful career at Atlassian. The internship role is located in British Columbia, requires willingness to work in that time zone, and is not eligible for Canada work visa sponsorship now or in the future; candidates with student work permits or any open work permits are welcome to apply. Your Future Team describes Atlassian’s elite engineering organization focused on AI-driven innovation, building AI-powered features, maintaining high standards with data-driven insights and agile methodologies, and enabling engineers to contribute breakthrough ideas and own impactful solutions. From day one, interns will join the development team, report to Senior Engineers, and work on features that can be shipped into products, while the R&D team prioritizes cloud migration and continued value across Jira, Confluence, Trello, and Bitbucket.

At Atlassian, you can work where you collaborate best—home, a global office, or both—with virtual interviews and hiring in any country where the company has a legal entity. The Atlassian Intern program blends hands-on technical training, professional growth, dedicated mentorship, and social connections to set students up for a successful, impactful career. The PhD Research Intern on the Machine Learning Research team focuses on advanced ML/AI technologies, especially large language models, Generative AI, conversational agents, and AI optimization, with a goal of solving real-world enterprise problems. Interns collaborate with researchers and ML engineers to design, implement, and evaluate experiments that improve the performance, efficiency, and scalability of modern ML and LLM systems, while curating and managing large-scale datasets and performing training, fine-tuning, and alignment for specialized applications such as conversational AI, summarization, and multimodal agents. They contribute to publications and presentations at internal workshops or top-tier academic venues, and join a supportive, inclusive environment that emphasizes cross-functional collaboration and pushing the boundaries of enterprise AI research.

- Atlassian’s Grad++ program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to prepare students for a successful and impactful career at Atlassian. - The role is preferred to be co-located to a specified location or in the Pacific Standard Timezone. - Atlassian’s mission is to unleash the potential of every team, enabling collaboration through our software for all types of work, and making what’s possible together rather than alone. - They are looking for Machine Learning engineers to advance this mission by leveraging AI across the product portfolio, focusing on areas like large language models, Generative AI, Search, Conversational Agents, and AI Optimization. - In the Machine Learning Research team, you’ll design system and model architectures, conduct rigorous experimentation and evaluations, apply AI/ML to various product problems to improve Atlassian products, and contribute to Atlassian Intelligence features.

Atlassian emphasizes flexibility to work where teams collaborate best; as a distributed-first company, all interviews are virtual, and hiring occurs in any country where they have a legal entity. Atlassian’s Intern program blends hands-on technical training, professional growth opportunities, mentorship, and social connections to help students start a successful career. The internship position is based in British Columbia and requires willingness to work from that location; these roles do not qualify for Canada work visa sponsorship now or in the future, though candidates with student or open work permits can apply. The Future Team aims to power a fast-growing company with data, reporting, and analytics, providing nuanced analysis, insights, and recommendations to support a market-leading product. You’ll collaborate with cross-functional teams to identify high-impact data science projects, manage and analyze large data trends to improve user journeys, guide measurement and experimentation, build dashboards for partners and internal teams, and translate insights into product improvements with product managers and engineers.

Atlassian is a distributed-first company with flexible work locations, conducting interviews virtually and hiring in countries where it has a legal entity, with more details at their distributed work page. The Grad++ program offers hands-on technical training, mentorship, and social connections to launch new grads’ careers, though Canada new grad roles do not include immediate work visa sponsorship; PGWP or open work permits are welcome, and roles are located in Vancouver, Burnaby, or Richmond. The machine learning teams collaborate with Growth, GTM, Product, Finance, and Sales to deliver ML infrastructure and model applications, composed of ML and systems engineers, prioritizing speed and business impact. This role provides opportunities to work in a collaborative environment and apply cutting-edge ML techniques such as search/recommendation engines, GenAI applications, and LLM training. Responsibilities include focusing on ML applications for recommendations and personalization, building ML models and GenAI projects, and translating business problems into technical solutions.

Atlassian offers flexible work arrangements, allowing employees to work from the office, home, or a combination of both, to better manage personal and family priorities. The Grad++ program at Atlassian provides recent graduates with technical training, professional development, and mentorship, setting them up for success within the company. Open positions are available in Burnaby, Vancouver, or Richmond; however, candidates must have valid work permits as grad roles do not sponsor Canada work visas. The engineering team at Atlassian focuses on developing innovative, AI-driven products that enhance collaboration for millions of users worldwide, maintaining high standards through agile practices. Responsibilities for engineering roles include building scalable features, managing projects end-to-end, collaborating in agile teams, and innovating with AI/ML technologies to solve complex technical challenges.

Atlassian offers flexible work options, allowing employees to choose their work environment—whether in the office, from home, or a hybrid of both—to better support personal and family priorities. The company is hiring for a Machine Learning Scientist position within its Central AI team based in Bellevue, WA, which focuses on building the infrastructure and tools necessary for AI feature development across the organization. This Central AI team is part of the broader Atlassian Intelligence program, aiming to create a unified AI experience that enhances collaboration among various product teams. The role involves developing machine learning algorithms, training models, and collaborating with other teams to integrate AI functionalities into Atlassian's products and services. Additionally, the Machine Learning Engineer will be responsible for designing architectures, conducting experiments, and mentoring junior engineers to ensure the effective realization of AI capabilities.