Senior Machine Learning Engineer Jobs

Senior Machine Learning Engineer

Atlassian

Location:
Singapore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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.

Job Responsibility:

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

Requirements:

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)

What we offer:

Health and wellbeing resources
Paid volunteer days

Additional Information:

Job Posted:
December 27, 2025

Work Type:

Remote work

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