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Senior Machine Learning Engineering Manager Job Opening In Central Singapore Community Development Council – Now Hiring Atlassian


Job description

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 Senior Machine Learning Manager (M60) to found and lead our new GenAI Modeling & Innovation Forge in Singapore.

This team will act as a hub for advanced modeling, rapid prototyping, and applied research—driving the next wave of high-impact GenAI innovations across Atlassian.

Responsibilities:

Advance GenAI Modeling with Knowledge

  • Lead cutting-edge R&D in large language models, knowledge integration, and multimodal modeling.

  • Define strategies to adapt and fine-tune foundation models for Atlassian's unique data and enterprise scenarios.

  • Push forward the state of the art in applied generative modeling while balancing agility, quality, and scale.

  • Drive Innovation & Applied Research

  • Incubate and prototype high-impact innovation projects, from agentic workflows to knowledge-grounded assistants.

  • Build proof-of-concept (POC) systems and pipelines, demonstrating new capabilities with rapid iteration.

  • Partner with product and platform teams to transition successful prototypes into scalable, production-ready systems.

Build & Lead a Tiger Team

  • Hire, coach, and inspire an elite but high-leverage team of ML engineers and applied scientists.

  • Foster a culture of bold experimentation, ownership, and collaboration across global teams.

  • Create an environment where technical excellence, creativity, and speed of execution thrive.

Shape Strategy and Global Impact

  • Define the mission and roadmap for the Forge as a global hub for GenAI innovation.

  • Collaborate closely with peers across Rovo, Jira Search, Knowledge AI, and Platform teams.

  • Champion responsible AI, groundedness, and trustworthiness in all deployed models and prototypes.

Qualifications:

What We're Looking For


Experience

  • Extensive experience in ML/AI (generally 8+ years), including at least 3+ years managing ML or research teams.

  • Strong track record of delivering ML-powered products or prototypes in production environments.

  • Hands-on expertise in one or more of: large language models, search/retrieval, embeddings, knowledge graphs, or NLP.

  • Experience leading applied research or innovation programs with tangible product impact.

Skills

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

  • Strong grasp of experimentation workflows, evaluation methods (e.g., groundedness, hallucination detection), and fast prototyping.

  • Ability to balance scientific exploration with business impact, translating emerging capabilities into product opportunities.

  • Exceptional leadership and communication skills, with the ability to inspire teams across disciplines.

Education

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

Nice to Have

  • Experience building agentic systems or orchestration frameworks (LangChain, LlamaIndex).

  • Familiarity with semantic search, hybrid retrieval, or enterprise knowledge systems.

  • Background in multimodal modeling, evaluation benchmarks, or human-in-the-loop experimentation.

  • Passion for cultivating new AI hubs and mentoring diverse, globally distributed teams.

Why Join Us?

  • Be the founding leader of Atlassian's Singapore-based GenAI Modeling & Innovation Forge.

  • Drive high-visibility, high-impact projects at the frontier of modeling, innovation, and applied research.

  • Collaborate with world-class teams, rich enterprise data, and robust infrastructure to build what's next.

  • Join a mission-driven, remote-first company whe

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

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.

To learn more about our culture and hiring process, visit

Required Skill Profession

Other General


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Unlock Your Senior Machine Potential: Insight & Career Growth Guide


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Are You Looking for Senior Machine Learning Engineering Manager Job?

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The Work Culture

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:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Senior Machine Learning Engineering Manager Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Central Singapore Community Development Council. 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.

What Are the Key Qualifications for Senior Machine Learning Engineering Manager?

Key qualifications for Senior Machine Learning Engineering Manager typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Senior Machine Learning Engineering Manager?

To improve your chances of getting hired for Senior Machine Learning Engineering Manager, consider enhancing your skills. Check your CV/Résumé Score with our free 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.

Interview Tips for Senior Machine Learning Engineering Manager Job Success

Atlassian interview tips for Senior Machine Learning Engineering Manager

Here are some tips to help you prepare for and ace your Senior Machine Learning Engineering Manager job interview:

Before the Interview:

Research: Learn about the Atlassian's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Machine Learning Engineering Manager 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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