Job Description

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.