Machine Learning Engineer

Overview:
**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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

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 **Machine Learning Engineer (P40)** to join our new **GenAI Modeling & Innovation Forge** in Singapore. You’ll work with a small, high-impact team focused on advanced GenAI modeling, rapid prototyping, and applied research—building the foundations of the next generation of AI-powered innovations across Atlassian.

**Responsibilities**:
**What You'll Do**:
**Contribute to Advanced GenAI Models**
- Implement and fine-tune LLMs and embeddings under guidance from senior engineers and scientists.
- Build retrieval-augmented generation (RAG) and hybrid retrieval pipelines.
- **Prototype and Experiment**
- Help build proof-of-concept systems for GenAI-powered assistants and agentic workflows.
- Run experiments, collect data, and iterate quickly to improve models and features.
- Contribute to evaluation pipelines for groundedness, quality, and reliability.

**Collaborate and Learn**
- Work closely with ML engineers, applied scientists, and product teams to deliver end-to-end prototypes.
- Share results and insights to help drive the Forge’s mission of rapid innovation.

Qualifications:
**What We're Looking For**:
**Experience**
- 2-4 years in ML/AI engineering or applied ML roles.
- Hands-on experience with at least one area: LLMs, NLP, embeddings, search/retrieval, or ML pipelines.
- Exposure to building or deploying ML-powered features or prototypes.

**Skills**
- Proficiency with ML frameworks (PyTorch, TensorFlow, Hugging Face).
- Familiarity with modern GenAI tools (LangChain, LlamaIndex) and vector databases (Weaviate, Pinecone, FAISS).
- Solid coding skills in Python and ability to write clean, maintainable code.
- Curiosity, adaptability, and eagerness to learn in a fast-paced environment.

**Education**
- Bachelor’s in Computer Science, Machine Learning, or related field—or equivalent practical experience.

**Nice to Have**:

- Experience with data pipelines, backend engineering, or cloud platforms (AWS, GCP, Azure).
- Contributions to open-source ML/GenAI projects.
- Strong interest in applied research and rapid prototyping.

**Why Join Us?**:

- Be part of the **founding team** of Atlassian’s Singapore-based **GenAI Modeling & Innovation Forge**.
- Work on cutting-edge applied GenAI projects with global visibility and impact.
- Learn from experienced engineers and scientists while contributing to meaningful prototypes.
- Join a mission-driven, remote-first company where innovation and growth are celebrated.

**Benefits & Perks**:
**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.