Senior Research Scientist

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

Requirements

• 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
• About MongoDB
• 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.
• 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 ID
• 1273359257

Benefits

Additional Information

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.

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