We seek an exceptional researcher specializing in Machine Learning with particular expertise in areas such as Code-oriented LLMs, Agentic Systems, Reinforcement Learning and Reasoning Models. The ideal candidate will demonstrate a strong track record of publishing in top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL).
We are looking to speak to candidates who are based in Sydney for our hybrid working model.
Responsibilities- Conduct cutting-edge research in Machine Learning in areas such as Code LLMs, Reasoning Models, Agentic Systems and Reinforcement Learning
- Publish influential research outcomes in top-tier Machine Learning conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL)
- Collaborate closely with other Research Scientists and Research Engineers, as well as our Engineering teams to translate cutting-edge research into practical solutions applicable in commercial database products
- Mentor intern researchers, fostering a collaborative and productive research environment
- Ph.D. in Computer Science, Computer Engineering, or a closely related field with a specialization in Machine Learning
- Proven track record of impactful research publications in top-tier Machine Learning conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL)
- Post-PhD industry experience of applying computer science concepts to large scale software development problems is a plus
- Experience in building research prototypes and conducting rigorous empirical studies to validate theoretical models
- Excellent technical communication skills, verbal and written, with the ability to collaborate across teams
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Requisition ID1273359257Skills Required
- Ph.D. in Computer Science, Computer Engineering, or closely related field with specialization in Machine Learning
- Proven track record of impactful research publications in top-tier ML conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL)
- Based in Sydney for hybrid working model
- Experience building research prototypes and conducting rigorous empirical studies to validate models
- Excellent technical communication skills, verbal and written, with ability to collaborate across teams
- Post-PhD industry experience applying computer science concepts to large-scale software development problems
What the Team is Saying
MongoDB Compensation & Benefits Highlights
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Parental & Family Support — Paid parental leave up to 20 weeks, backup childcare days, and global fertility/adoption support are emphasized as generous and inclusive. Family-forming programs through dedicated partners and structured return-to-work flexibility further strengthen this pillar.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with extras like free primary-care memberships, mental-health resources, and care navigation. Added coverage for gender affirmation and menopause/low-testosterone needs underscores depth in clinical and holistic support.
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Wellbeing & Lifestyle Benefits — Wellbeing programs, meditation and mindfulness tools, and fitness partnerships are highlighted alongside in-office lunches on hub days. These everyday perks complement core coverage and support sustained work-life balance.
MongoDB Insights
What We Do
The database market is big. How big? Well, according to IDC, it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want, wherever they want.
Why Work With Us
We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.
