Senior Machine Learning Engineer

Atlassians 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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. At Atlassian, we’re on a mission to unleash the potential of every team. As part of that mission, we're investing deeply in Generative AI — pioneering advanced modeling and rapid innovations that accelerate how teams work, discover, and create. We’re seeking a Senior Machine Learning Engineer (P50)to join our new GenAI Modeling & Innovation Forge in Singapore. You’ll be part of a small, high-impact tiger team focused on advanced GenAI modeling, rapid prototyping, and applied research—building the next generation of AI-driven innovations across Atlassian. What You\'ll Do Build and Apply Advanced GenAI Models Develop and fine-tune LLMs and embeddings for Atlassian’s unique knowledge and enterprise data. Implement retrieval-augmented generation (RAG), hybrid retrieval, and knowledge-grounded modeling approaches. Work hands-on with modern frameworks, contributing directly to high-value prototypes and experiments. Prototype and Experiment Quickly Build proof-of-concept systems for GenAI-powered assistants, agentic workflows, and innovative user experiences. Run experiments, collect feedback, and iterate fast to validate impact. Design and implement evaluation methods for quality, groundedness, and user value. Collaborate and Contribute Work closely with peers across ML, engineering, and product teams to bring new ideas to life. Share learnings, contribute to team best practices, and help establish the Forge as a hub of innovation. Support transitioning successful prototypes into scalable, production-ready solutions. What We\'re Looking For Extensive experience (generally 5+ years) in ML systems engineering, backend engineering, or infrastructure roles. Strong background in one or more of: LLMs, NLP, search/retrieval, embeddings, or applied ML. Hands-on experience with at least one GenAI area: RAG pipelines, fine-tuning, hybrid retrieval, or orchestration frameworks. Proficiency with modern ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex). Familiarity with vector databases (Weaviate, Pinecone, FAISS, etc.) and large-scale serving infra. Strong coding skills (Python, backend engineering) and ability to move fast from idea to prototype. Comfort working in fast-paced, experimental environments with evolving direction. Bachelor’s or Master’s in Computer Science, Machine Learning, or related field—or equivalent experience. Nice to Have Experience in multimodal models, knowledge graphs, or semantic embeddings. Familiarity with evaluation metrics for search/GenAI (e.g., NDCG, groundedness, hallucination detection). Contributions to open-source GenAI/ML projects. Interest in growing into technical leadership (mentorship, setting direction, cross-team influence). Why Join Us?Be part of the founding team of Atlassian’s Singapore-based GenAI Modeling & Innovation Forge . Work on cutting-edge applied research with direct product impact. Collaborate with world-class teams, rich data, and strong infrastructure to build what’s next. Join a mission-driven, remote-first company where innovation and growth are celebrated. Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we\'re motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone\'s perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. Don’t see an exact role match? No problem Join our Talent Community and stay up-to-date on company and careers updates relevant to your career. #J-18808-Ljbffr