Senior Research Scientist

SydneyPosted 10 days ago

Role Overview

MongoDB is hiring a Senior Research Scientist. This is a internship hybrid role, based in Sydney. Part of MongoDB's Data Science hiring, posted last week. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Senior-level Data Science roles is $160k-$214k (based on 45 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

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AWSAzureMongoDBORBenefitsMachineLearningCode

Job description

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

Qualifications

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

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 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 ID

1273359257

About MongoDB

MongoDB

mongodb.com

Data ScienceHybrid

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Frequently Asked Questions

How do I apply for the Senior Research Scientist position at MongoDB?

Use the Apply button above to submit your application directly to MongoDB. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Is the Senior Research Scientist role at MongoDB remote or in-office?

This is a hybrid role based in Sydney. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.

What does a Senior Research Scientist at MongoDB earn?

MongoDB has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Research Scientist role at MongoDB posted?

This role was posted on July 6, 2026 (10 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Senior Research Scientist role at MongoDB require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. MongoDB lists their specific requirements in the description below, so review the must-have qualifications closely before applying.

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