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deep insights into the Atlassian community

At Atlassian, employees have the flexibility to choose their work environment, whether in-office, remote, or a combination of both, allowing them to better manage personal and family priorities. The company is actively hiring globally where it has legal entities, and conducts interviews and onboarding virtually as part of its distributed-first approach. Atlassian is focused on unleashing team potential by investing in Generative AI, which includes advanced modeling and innovations that enhance team productivity. They are looking for a Senior Machine Learning Systems Engineer in Singapore to develop and scale systems for GenAI modeling, and to facilitate rapid prototyping and research. This role involves designing scalable ML systems, collaborating with various teams, and establishing best practices for model deployment, all contributing to the establishment of the Forge as a global center for GenAI innovation.

At Atlassian, employees have the flexibility to choose their work environment, whether it's in the office, at home, or a mix of both, allowing them to better manage personal and family priorities. The company is committed to its mission of empowering teams and is making significant investments in Generative AI, aiming to drive innovation in this area. They are looking for a Senior Machine Learning Manager to establish a new GenAI Modeling & Innovation Forge in Singapore, which will focus on advanced modeling, rapid prototyping, and applied research. This role involves leading a team of ML engineers to develop new generative modeling techniques and foster collaboration on impactful projects. The manager will also shape the strategic direction of the Forge while advocating for responsible AI practices.

Atlassian offers flexible work arrangements, allowing employees to choose to work in the office, from home, or a combination of both, enabling better support for personal priorities. The company conducts virtual interviews and onboarding as part of its distributed-first approach and aims to empower every team through advanced technologies. They are currently seeking a Senior Machine Learning Engineer to join their GenAI Modeling & Innovation Forge in Singapore, focusing on advanced GenAI modeling and rapid prototyping. The role involves developing large language models (LLMs) and implementing innovative techniques like retrieval-augmented generation (RAG) to enhance Atlassian's products. Collaboration with other teams to transition successful prototypes into scalable solutions and contribute to the team's innovation practices will also be essential responsibilities.

At Atlassian, employees have the flexibility to choose their work environment, whether it be in an office or from home, promoting personal and family priorities. The company's mission is to "unleash the potential of every team," supported by its collaborative products like Jira and Confluence, which facilitate teamwork across various industries. The Central AI Org focuses on advancing AI innovation within Atlassian's products, aiming to build a centralized AI infrastructure that enhances user experience and collaboration. The AI & ML Platform Team works to democratize AI and Machine Learning, creating tools that integrate with existing platforms and adhere to security policies to streamline users’ workflows. The Principal Machine Learning System Engineer role involves developing the infrastructure necessary for machine learning, collaborating with product teams, and leading projects to deliver impactful AI solutions for Atlassian's broad customer base.

Atlassian offers flexible work arrangements, allowing employees to work from the office, home, or a mix of both, which supports their personal and family needs. The company is focused on harnessing the potential of teams through significant investments in Generative AI, aiming to innovate team collaboration and creativity. They are looking to hire a Principal Machine Learning Engineer in Singapore, who will lead efforts in advancing generative modeling and prototyping for high-impact projects within the organization. The role involves mentoring a small team, driving the transition of prototypes into scalable systems, and implementing evaluation methods to assess project success. Additionally, the engineer will help shape the innovation strategy and collaborate with various teams to promote responsible AI practices and enhance data quality.

At Atlassian, employees have the flexibility to choose their work environment, whether it's in-office, remote, or a hybrid setup, promoting personal and family priorities. The company is dedicated to empowering teams and is heavily investing in Generative AI to enhance collaboration and innovation. They are looking for a Machine Learning Engineer to join their GenAI Modeling & Innovation Forge in Singapore, where the engineer will engage in advanced modeling, rapid prototyping, and applied research. Responsibilities include implementing and fine-tuning large language models, developing retrieval-augmented generation pipelines, and conducting experiments to refine AI models. Collaboration with ML engineers and product teams is essential, as well as a commitment to sharing insights to foster rapid innovation within the Forge.

At Atlassian, employees have the flexibility to work from various locations, be it in an office or remotely, enhancing their ability to balance personal and family commitments. The company operates as a distributed-first organization, conducting virtual interviews and onboarding processes, and is committed to unleashing team potential through significant investments in Generative AI. They are currently seeking a Senior Machine Learning Systems Engineer to join their GenAI Modeling & Innovation Forge in Singapore, where the focus will be on creating and scaling advanced modeling systems. The role involves architecting machine learning systems, supporting rapid prototyping, and enabling applied research by collaborating with cross-disciplinary teams. The engineer will also contribute to the establishment of best practices in model deployment and support the Forge as a global center for innovation in Generative AI systems.

At Atlassian, employees have the flexibility to work from various locations, including offices or from home, which allows them to better manage their personal and family priorities. The company aims to harness the potential of teams by investing heavily in Generative AI, with plans to establish a new GenAI Modeling & Innovation Forge in Singapore. The Forge will focus on cutting-edge research and development in large language models and knowledge integration while fostering innovation through rapid prototyping. A key aspect of this endeavor includes building a high-performing team of machine learning engineers and applied scientists to drive experimentation and collaboration. The initiative emphasizes responsible AI practices, aiming to create scalable and trustworthy models that meet Atlassian's unique business needs.

At Atlassian, employees have the flexibility to choose their work environment, whether that be in-office, remote, or a hybrid setup, allowing them to better manage personal priorities. The company is focused on leveraging Generative AI to enhance team productivity, and they are hiring for a Senior Machine Learning Engineer position in Singapore. This role involves developing advanced GenAI models, implementing various modeling approaches, and working with modern frameworks to create prototypes and experiments. The engineer will collaborate with cross-functional teams to foster innovation and ensure successful prototypes are transitioned into scalable solutions. Overall, the position aims to contribute to Atlassian's mission of empowering teams through cutting-edge technologies.

At Atlassian, employees have the flexibility to choose their work environment, facilitating better support for personal and family priorities. The company's mission is to "unleash the potential of every team," which is evident in their collaborative products like Jira, Confluence, and Bitbucket that help teams excel across various industries. The Central AI Organization focuses on driving AI innovation, establishing AI infrastructure, and integrating AI solutions across Atlassian's products. The AI & ML Platform team aims to democratize AI and machine learning by creating reliable tools that empower users while ensuring seamless integration with Atlassian platforms. The role of Principal Machine Learning System Engineer involves developing core infrastructure for ML capabilities, collaborating with product teams, and mentoring junior members, requiring extensive experience in ML systems, MLOps, and large-scale system design.

At Atlassian, employees have the flexibility to work from an office, home, or a hybrid of both, allowing them to better manage personal and family priorities. The company is expanding its reach globally through virtual interviews and onboarding processes, aligning with its distributed-first philosophy. Atlassian aims to enhance team potential by heavily investing in Generative AI, and is currently seeking a Principal Machine Learning Engineer in Singapore to lead advancements in this field. The role involves hands-on technical leadership, focusing on developing novel approaches for generative modeling and rapid prototyping of AI-powered solutions. Additionally, the engineer will collaborate across teams to ensure innovations are scalable and align with responsible AI practices.

Atlassian offers flexible work arrangements, allowing employees to choose between office, home, or hybrid setups to better accommodate personal and family priorities. The company operates as a distributed-first organization, enabling the hiring of talent from any country where they have a legal entity, with virtual interviews and onboarding processes. As part of their mission to unlock team potential, Atlassian is heavily investing in Generative AI, focusing on advanced modeling and quick innovations to enhance teamwork and creativity. They are looking for a Machine Learning Engineer to join their GenAI Modeling & Innovation Forge in Singapore, where the engineer will work on advanced model implementation, concept prototyping, and collaborative learning. The role includes building advanced AI systems, running experiments to optimize features, and collaborating with various teams to drive innovation.