Senior Machine Learning Engineer - GenAI Modeling & Innovation Forge

chbuilding 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

Experience

• 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.

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.

Education

• Bachelor's or Master's in Computer Science, Machine Learning, or related fieldor 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.

Benefits & Perks

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.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.