Senior Machine Learning Engineer

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 (GenAI) — 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 1. Build and Apply Advanced GenAI Models • Develop and fine-tune Large Language Models (LLM) 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. 2. 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. 3. Collaborate and Contribute • Work closely with peers across Machine Learning (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 1. Experience • 5+ years in ML/AI engineering, with experience delivering production systems or impactful prototypes. • Strong background in one or more of: LLMs, Natural Language Processing (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. 2. Skills • 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. 3. Education • 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., Normalised Discounted Cumulative Gain (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.