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Atlassian offers flexible work options—office, home, or a hybrid arrangement—and hires globally 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 infrastructure, data pipelines, frameworks, models, and other capabilities 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 an AI infrastructure that enables cross-team collaboration and shared experiences like search, knowledge discovery, and conversation. The Senior Machine Learning engineer will design system and model architectures, conduct experiments and evaluations, train sophisticated models, collaborate with product, engineering, and analytics teams, and guide junior ML engineers to realize AI’s transformative potential across Atlassian’s offerings.

Atlassian supports flexible work locations (office, home, or a hybrid) and hires globally where they have a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first culture. The role is a pre-sales position that partners with direct sales, partners, and large account teams on Fortune 500 customers to track customer profiles, business problems, roadmaps, and solution success. You will perform customer discovery to understand current state and problems, map them to Atlassian products and solutions, and identify opportunities for cross-product expansion, acting as a product expert in the pre-sales process. You will lead value-based demonstrations tailored to multiple stakeholders, guide the customer’s technical needs to gain buy-in, forge strong partnerships with account executives, and document product feedback and competitive intelligence for internal development. Qualifications include 5+ years of enterprise pre-sales experience, excellent communication and presentation skills, the ability to translate complex problems into solutions, a customer-centric mindset, comfort with both business and technical audiences, and you’ll work with a globally distributed SE team aligned with Atlassian’s core values.

- Atlassians can choose where to work (office, home, or a mix) with virtual interviews and onboarding, and the company hires in any country with a legal entity. - The machine learning system engineer role in the Central AI team builds and maintains the core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines. - The role uses software development expertise to tackle difficult infrastructure and architecture challenges and may lead other engineers from design to launch. - Collaboration with other teams and internal customers is important to set expectations, gather input, and communicate results. - Central AI accelerates AI innovation across Atlassian products, providing cohesive AI experiences and infrastructure, and, while most AI initiatives are federated, is responsible for the underlying infrastructure and shared experiences like search, knowledge discovery, and conversation to prevent silos.

Atlassian offers flexible work options (office, home, or hybrid) with virtual interviews and onboarding, and this is a remote position, but you must be located in the Pacific Standard Timezone to support team collaboration. The role is Principal Program Manager (Technical) on the CTO Strategic Initiatives team, responsible for leading high-impact Engineering Recruiting efforts with a data-driven approach to improve recruiting workflows, the funnel, and hire quality. You will manage complex, end-to-end strategic programs, dive deep to understand the engineering landscape, and build relationships with senior leadership and cross-functional teams. You will own the execution of strategic programs focused on delivering the best outcomes for customers, represent Engineering in partnering with recruiting to align and implement strategic hiring initiatives, and develop and maintain program plans including resources, schedules, dependencies, and risks. You will establish KPIs and metrics, translate business requirements into technical specifications and tooling requirements for the internal interview management tool, provide regular updates to stakeholders and executives, and implement initiatives to enhance Atlassian Engineering’s brand to attract top talent.

Atlassians can choose where they work—office, home, or a mix—and interviews and onboarding are conducted virtually as part of a distributed-first approach, with hiring in any country where Atlassian has a legal entity. The Intern program blends hands-on technical training, professional growth, dedicated mentorship, and strong social connections to help students start a successful, impactful career at Atlassian. The role is located in British Columbia, and you must be willing to work in that time zone; internships are not eligible for Canada work visa sponsorship now or in the future, but candidates with student work permits or open work permits are welcome. Atlassian's engineering organization combines technical excellence with AI-driven innovation, relying on data-driven insights and agile methods to deliver industry-leading, scalable products. Interns will be part of a unified R&D team, report to Senior Engineers, contribute to full lifecycle development, and help drive cloud migration alongside core products like Jira, Confluence, Trello, and Bitbucket.

Atlassian operates as a distributed-first company with flexible work locations, conducts all interviews virtually, and hires in any country where it has a legal entity. The Atlassian Intern program blends hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to set interns up for a successful career. The PhD Research Intern will join the Machine Learning Research team to work on advanced ML/AI technologies, focusing on LLMs, Generative AI, Conversational Agents, and AI optimization for enterprise applications. Interns will gain experience in both foundational research and practical applications, contributing to training, evaluation, and optimized inferencing of AI models used by millions, while collaborating with experienced researchers and engineers. The role emphasizes cross-functional collaboration, data curation and preprocessing, model training and alignment, rigorous experimentation, and opportunities to publish or present at internal workshops or top-tier academic venues.

Atlassian’s Grad++ program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to empower students for a successful and impactful career at Atlassian. The role is preferred to be co-located to a location or in the Pacific Standard Timezone. Atlassian’s mission is to unleash the potential of every team, with their tools designed to support collaboration and make work that seems impossible alone, possible together. They are seeking Machine Learning engineers to advance AI/ML across Atlassian's product portfolio, focusing on Large Language Models, Generative AI, Search, Conversational Agents, and AI optimization to boost team productivity. Responsibilities include designing system and model architectures, conducting experiments and evaluations, applying AI/ML to product problems, and contributing to Atlassian Intelligence features.

Atlassian operates as a distributed-first company with flexible work locations and virtual interviews, hiring in any country where they have a legal entity. Their Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to prepare interns for a successful career. The position is based in British Columbia and candidates must be willing to work from that location, with Canada work visa sponsorship not available for current or future openings; candidates with a student or open work permit are welcome to apply. The role involves collaborating with cross-functional teams to identify and prioritize high-impact data science projects aligned with business goals and analyzing large data to improve user journeys and customer value. It also includes building dashboards, guiding measurement culture and experiments, and translating insights into product improvements with product managers and engineers.

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.

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.

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.