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At Atlassian, you can work where you collaborate best, with a distributed-first approach, virtual interviews, and hiring in any country where the company has a legal entity. The Intern program blends hands-on technical training, professional growth, dedicated mentorship, and strong social connections to set students up for a successful career. As a PhD Research Intern on the Machine Learning Research team, you’ll work on advanced ML/AI topics such as large language models, generative AI, conversational agents, and AI optimization to drive enterprise impact. You’ll gain experience in both foundational research and practical applications, including training, evaluation, and optimized inference of AI models used by millions, in collaboration with experienced researchers and engineers in a supportive environment. Your responsibilities include cross-functional collaboration to design and evaluate experiments, curating and managing large-scale datasets, fine-tuning and aligning LLMs for specialized tasks, evaluating cutting-edge algorithms, and contributing to publications or presentations at internal workshops or top-tier venues.

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 in the Pacific Standard Timezone. Atlassian’s mission is to unleash the potential of every team, with tools that help teams worldwide and enable collaboration to make the impossible possible. They are looking for Machine Learning engineers to advance this mission by leveraging AI across Atlassian's product portfolio to boost team productivity. As a member of the Machine Learning Research team, you’ll work on advanced ML/AI technologies—such as LLMs, Generative AI, Search, Conversational Agents, and AI Optimization—designing system and model architectures, conducting experiments and evaluations, applying AI/ML to product problems, and contributing to Atlassian Intelligence features.

Atlassian supports flexible work options—office, home, or hybrid—and conducts interviews and onboarding virtually as part of its distributed-first approach. In the role, you partner with direct sales, partners, and large account teams on Fortune 500 customers, tracking customer problems, roadmaps, and success to optimize the account. You conduct customer discovery, map business problems to Atlassian products, identify cross-product opportunities, and serve as a product expert to demonstrate value. You lead compelling value-based demonstrations, guide customers' technical needs to gain buy-in, and collaborate with account executives while providing feedback and competitive intelligence. The team is globally distributed, works with Global 2000 clients, emphasizes continuous learning and a customer-centric, go-getter culture aligned with Atlassian's core values.

Atlassian supports flexible work locations, with virtual interviews and onboarding as part of a distributed-first approach, and hires globally wherever they have a legal entity. The role is fully remote but requires residence in the US Pacific or Mountain time zones. They are seeking a Principal Fullstack Software Engineer focused on delivering creative improvements for engineering teams. Responsibilities include understanding user journeys, collaborating with product, design, and engineering to influence product strategy, guiding the technical direction for large-scale features, evaluating trade-offs, debugging inefficiencies, shipping well-tested secure code, and contributing to reviews, documentation, and complex bug fixes with emphasis on security and reliability. The role also involves mentoring teammates, growing the growth engineering team, and identifying blockers to achieve software engineering excellence, including design principles, unit testing, performance, security, and privacy.

Atlassian supports flexible work locations with a distributed-first approach, and all interviews are conducted virtually, with hiring in any country where the company has a legal entity. The Grad++ program offers hands-on technical training, mentorship, and social connections to help grads launch impactful careers, with roles located in Vancouver, Burnaby, or Richmond; Canada work visa sponsorship is not available for immediate employment, but PGWP or open work permits are welcome. The ML teams collaborate across Growth, GTM, Product, Finance, and Sales to deliver machine learning infrastructure and model applications. The teams consist of ML engineers and system engineers who work nimbly, emphasizing speed from concept to initial output while focusing on business impact. Responsibilities include focusing on ML applications for recommendation and personalization, building models, working on Generative AI projects, and translating business problems into technical solutions, including work on search/recommendation engines and LLM training.

Atlassian supports flexible work options and global hiring, with interviews and onboarding conducted virtually as part of a distributed-first approach. The Senior Principal Engineer is a seasoned expert across multiple backend technologies who collaborates across departments to deliver scalable, transformational solutions and acts as a role model and mentor. The role involves defining technical direction and OKRs for Central AI, tackling the largest and most complex problems from design to launch, and partnering with other engineering teams on company-wide initiatives and architectural standards. They own key OKRs and end-to-end outcomes in a microservices environment, champion best practices for scalability, reliability, and performance, and ensure engineering and operational excellence along with continuous improvements and key operational metrics. They also drive developer productivity and help hire and mentor engineers to foster an open, innovative, and operationally responsible culture.

Atlassianers can work in an office, from home, or a combination, giving them more control over family and personal priorities, and the company hires people in any country where it has a legal entity with virtual interviews and onboarding as part of its distributed-first approach. This is a remote position, but the role requires you to be located in the Pacific Standard Timezone to help teams work together effectively. The role is Principal Program Manager (Technical) on the CTO Strategic Initiatives team, responsible for leading high-impact Engineering Recruiting efforts using a data-driven approach to improve recruiting workflows, the funnel, and quality of hires. You will manage complex, end-to-end strategic programs, gain deep understanding of the engineering landscape, and build strong relationships with senior leadership and cross-functional teams, representing Engineering and partnering with Recruiting on strategic hiring initiatives. Responsibilities include developing program plans, identifying resource needs and risks, establishing KPIs, translating business requirements into technical specifications for the internal interview management tool, providing regular updates to stakeholders and executives, and implementing initiatives to enhance Atlassian Engineering’s brand to attract top talent.

- Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. - Atlassian is seeking a Senior Machine Learning Scientist to join the Central AI team in Bellevue, WA. - The Central AI organization builds the fundamental infrastructure, data pipelines, frameworks, and models to accelerate AI feature development across the company and is part of the Atlassian Intelligence program. - While most AI work is expected to be implemented by federated product teams, Central AI provides the underlying infrastructure and shared experiences like 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.

Atlassians have the flexibility to choose their work environment, whether in an office or remotely, which allows for better management of personal and family priorities. The Grad++ program at Atlassian provides students with technical training, mentorship, and opportunities for professional growth to ensure a successful career start. This specific role is based in Burnaby, Vancouver, or Richmond, and requires candidates to work from these locations, with no work visa sponsorship available for immediate employment. Atlassian's engineering team focuses on building innovative, AI-driven solutions for its products, empowering engineers to contribute to cutting-edge technologies. Responsibilities for engineering roles include developing production-ready features, managing end-to-end projects, collaborating in agile teams, innovating with AI/ML, and solving complex technical problems.

Atlassian offers flexible work arrangements, allowing employees to choose between working in an office, from home, or a hybrid model, which supports personal and family priorities. The company's intern program provides a comprehensive experience with technical training, mentorship, and community-building opportunities to facilitate career success. Intern roles are located in British Columbia and require candidates to be within the time zone; sponsorship for work visas is not available for these positions. The engineering team at Atlassian focuses on creating innovative, AI-driven solutions that enhance collaboration for teams globally, maintaining high standards through data-driven approaches. Interns will actively contribute to product development from the outset, working closely with senior engineers to implement impactful features for well-known products like Jira and Confluence.

At Atlassian, employees can choose their work location, whether it's in an office or from home, allowing them to balance personal and family needs. The company is hiring a Machine Learning Scientist for its Central AI team in Bellevue, WA, which plays a crucial role in developing the necessary infrastructure for AI feature development across the organization. Central AI aims to foster AI innovation, enhance user experiences, and ensure different teams collaborate effectively by providing a shared foundation for AI capabilities. As a Machine Learning Engineer, the selected candidate will focus on building cutting-edge algorithms, collaborating across various teams, and guiding junior engineers. Overall, the role is vital in realizing the transformative potential of AI within Atlassian’s products and services.

At Atlassian, employees enjoy flexible work arrangements, allowing them to choose between office work, remote work, or a hybrid approach that supports their personal and family needs. The company operates as a distributed-first organization, facilitating virtual interviews and onboarding processes for global hires. There is a strong focus on designing and deploying scalable data and machine learning (ML) pipelines for enhancing search functionalities and data acquisition for model training and experimentation. The role also involves optimizing data infrastructure, developing ML models for search relevance and personalization, and ensuring high standards of data quality and governance. Collaboration with cross-functional teams is essential, along with mentoring opportunities to elevate technical excellence and championing best practices in MLOps and DataOps for efficient model deployment and experimentation.

At Atlassian, employees have the flexibility to work from home or in global offices, with all interviews conducted virtually. The company offers an Intern program focused on technical training, mentorship, and professional growth, aimed at preparing students for successful careers. This specific intern position is based in British Columbia, and candidates must be eligible to work from this location without the need for visa sponsorship. Interns will be involved in scaling the company's operations through data analysis, identifying impactful projects, and enhancing user experience. Responsibilities include managing data trends, guiding measurement strategies, creating dashboards, and collaborating with product teams to drive product improvements.

Atlassian offers interns the flexibility to work from various locations, whether remotely or at their offices, with a focus on virtual interviews for hiring. The intern program emphasizes practical training, professional development, and mentorship, preparing students for successful careers at the company. This particular intern position is based in British Columbia, and applicants must be eligible to work from this location without the need for visa sponsorship. Interns will join the Data Engineering team, where they will engage in tasks that influence product teams and ensure high-quality data assets while providing insights to improve product experiences and efficiencies. Responsibilities for the role include defining metrics, data acquisition and modeling, ensuring data quality, and contributing to data governance and reporting efforts.