Research Engineer

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

About Voyage AI Team at MongoDB

Voyage AI team in MongoDB is building best-in-class, general-purpose, domain-specific, and fine-tuned embedding models and rerankers to enable accurate, efficient unstructured data search and retrieval for RAG, recommendation, semantic search, and more. It is backed by a strong team of AI researchers from Stanford, MIT, Berkeley, Princeton, and CMU, who have conducted over five years of cutting-edge research on training embedding models. Voyage AI was acquired by MongoDB recently, and is now integrating the SOTA embedding models with MongoDB's data platform to create powerful end-to-end solutions.

Position Overview

We are seeking a Research Engineer to join our team and contribute to the development of next-generation AI models. This position offers a unique opportunity to work on challenging problems at the intersection of machine learning research and practical deployment of large neural networks. 

Responsibilities

• Conduct cutting-edge research in artificial intelligence, with a focus on embedding models and rerankers
• Partner with the Inference engineering team to put best-in-class models into production
• Collaborate closely with other research scientists and research engineers

Qualifications

• Master's degree in Computer Science
• Strong background in machine learning, deep learning, and natural language processing
• Experience building complex neural networks for language and visual understanding
• Capable of conducting rigorous empirical studies to validate theoretical results
• Excellent leadership, problem-solving, and communication skills

What We Offer

• Opportunity to work on real-world problems at the cutting edge of AI research
• Mentorship from experienced researchers and engineers
• Exposure to the full lifecycle of AI model development, from research to production

Please submit a copy of your official transcript with your application

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REQ ID: 3263256254