Principal Machine Learning Engineer (GenAI Products with Enterprise Knowledge)

Atlassian; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

At Atlassian, we’re building a new GenAI Products & Innovation Forge in Singapore. This Principal ML Engineer role combines technical leadership with hands-on development to push GenAI boundaries across enterprise data and workflows.

You’ll prototype fast, evaluate groundedness and hallucination, scale prototypes to production, and mentor a tiger team while collaborating with product and platform squads to turn breakthroughs into scalable systems.

Qualifications

• 6+ years in ML/AI engineering focusing on LLMs, NLP, or search.
• Proven track record shipping ML-powered or GenAI products.
• Hands-on experience with Retrieval-Augmented Generation (RAG) and embeddings.

Responsibilities

• Design and build knowledge-grounded GenAI approaches (LLMs, embeddings, multimodal modeling).
• Lead rapid prototyping, from agentic workflows to GenAI-powered assistants.
• Mentor engineers and scientists, aligning teams toward scalable GenAI systems.
• Shape the roadmap for the Forge and drive cross‑team collaboration.

Skills

LLMs

NLP

GenAI products

Prototyping

Technical leadership

RAG

Embeddings

LangChain

LlamaIndex

Vector DBs

Production scaling

Education

Master’s/PhD in CS/ML

Tools

LangChain

LlamaIndex

Vector DBs

Job description

Overview

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 Principal Machine Learning Engineer (P60) to join our new GenAI Products & Innovation Forge in Singapore. This is a hands‑on technical leadership role where you’ll push the boundaries of advanced GenAI Products with enterprise knowledge, rapid prototyping, and applied research—turning state-of-the art techniques into high-impact innovations across Atlassian.

Working at Atlassian

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.

Responsibilities

What You'll Do

Advance GenAI Products with Knowledge

• Design and build novel approaches for knowledge-grounded LLMs, embeddings, and multimodal modeling.

• Explore fine-tuning, post-training, and retrieval-augmented strategies to adapt foundation models to Atlassian’s data.

• Lead technical explorations that expand the frontier of what’s possible in applied generative modeling.

Prototype & Experiment Rapidly

• Drive POC experimentation, from agentic workflows to novel GenAI-powered assistants.

• Translate research ideas into fast, working prototypes that demonstrate user value.

• Define and implement evaluation methods (groundedness, hallucination detection, human-in-the-loop) to measure success.

Provide Technical Leadership

• Act as the technical anchor of a small tiger team, mentoring engineers and scientists.

• Influence design and implementation across retrievers, rankers, orchestration, and serving infrastructure.

• Collaborate with product and platform teams to transition prototypes into scalable systems.

Shape Innovation Strategy

• Contribute to the roadmap for the Forge as a global hub for advanced GenAI products and applied research.

• Partner with peers across Rovo, Jira Search, Knowledge AI, and Platform to drive cross-team impact.

• Champion responsible AI, groundedness, and data quality in all innovations.

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

This role may also be eligible for benefits, bonuses, commissions, and equity.

Qualifications

What We're Looking For

Experience

• 6+ years in ML/AI engineering, with deep expertise in LLMs, NLP, or search.

• Proven track record of building and shipping ML-powered or GenAI-integrated products.

• Hands‑on experience with retrieval‑augmented generation (RAG), embeddings, hybrid retrieval, or agentic workflows.

• Strong background in scaling ML systems from prototype to production.

Skills

• Expert-level knowledge of GenAI ecosystems (OpenAI, Anthropic, Mistral, OSS) and fine‑tuning/serving frameworks.

• Deep technical skills across modeling, infrastructure, and orchestration (LangChain, LlamaIndex, vector DBs).

• Strong prototyping ability, balancing speed with rigor in experimentation.

• Ability to set technical direction and inspire peers with thought leadership.

Education

• Master’s or PhD in Computer Science, Machine Learning, or related field preferred—or equivalent industry experience.

Nice to Have

• Experience with multimodal models, knowledge graphs, or semantic embeddings.

• Familiarity with evaluation metrics for search/GenAI (NDCG, groundedness, human preference modeling).

• Contributions to open‑source ML frameworks or GenAI research communities.

• Passion for mentoring, fostering innovation, and shaping a new AI hub in Singapore.

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 make 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 .

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.