- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Machine Learning Engineer.
Urgent! Machine Learning Engineer Job Opening In Singapore, Singapore – Now Hiring 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.
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.
Apply modern frameworks and best practices to support team experiments and prototypes.
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.
Learn and apply best practices in ML engineering, experimentation, and deployment.
Share results and insights to help drive the Forge’s mission of rapid innovation.
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.
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.
Bachelor’s in Computer Science, Machine Learning, or related field—or equivalent practical experience.
Experience with data pipelines, backend engineering, or cloud platforms (AWS, GCP, Azure).
Familiarity with search evaluation metrics (e.g., NDCG, ).
Contributions to open-source ML/GenAI projects.
Strong interest in applied research and rapid prototyping.
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.
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 .
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.
Don’t see an exact role match?
No problem! Join our Talent Community and stay up-to-date on company and careers updates relevant to your career.
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 1468 jobs in Singapore and 1308 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Atlassian is currently hiring and seeking a Machine Learning Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Atlassian adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer typically include Engineering and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Machine Learning Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineer interview at Atlassian, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Atlassian's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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