MongoDB

Research Scientist at MongoDB specializing in Machine Learning, focusing on Code-oriented LLMs, Agentic Systems, Reinforcement Learning, and Reasoning Models. The role involves conducting cutting-edge research, publishing in top-tier venues, and collaborating with engineering teams to translate research into commercial database products. Requires a Ph.D. and a strong publication record.

Seeking a Senior Research Scientist to conduct cutting-edge research in AI, focusing on embedding models, rerankers, and next-generation information retrieval and LLM agent paradigms. The role involves developing and innovating AI models for unstructured data search and retrieval, with opportunities for both research and practical deployment.

Staff Research Scientist at MongoDB's Voyage AI team, focusing on developing next-generation embedding models, rerankers, and LLM agent paradigms for information retrieval and RAG. The role involves cutting-edge research in AI, deep learning, and NLP, with a strong emphasis on innovation and empirical validation.

Staff Engineer to build AI-powered code transformation tools for modernizing legacy applications using LLMs and GenAI. Responsibilities include leading technical strategy, designing and optimizing the code transformation workflow, crafting orchestration layers, and integrating AI capabilities for code generation, build, and test.

Head of AI Platform, GM role at MongoDB to lead the development and scaling of a new AI Applications Platform. This intrapreneurial role involves owning the business, vision, and execution of the platform, acting as the CEO of the product line. Responsibilities include defining technical architecture, building a team, scaling the platform, and managing P&L, R&D, and GTM strategy. Requires deep understanding of AI landscape, foundation models, embeddings, vector databases, and experience building scalable cloud/SaaS products and leading large cross-functional organizations.

This role leads the AI strategy and transformation for post-sales customer support, aiming to make it an AI-first, automation-led organization. Responsibilities include defining an AI roadmap, architecting conversational AI platforms, implementing intelligent automation, developing predictive analytics, and owning the support technology stack. The role requires strong technical depth in AI, RAG, and enterprise integration, along with strategic leadership and change management skills.

Senior Staff Engineer to provide technical direction, architecture, and implementation for a new platform enabling customers to build and deploy AI applications using MongoDB. Focus on performance, scalability, and reliability of distributed systems infrastructure for AI.

Senior Staff Engineer to lead the development of a Generative AI-powered platform for modernizing legacy applications. The role involves architecting complex distributed systems, designing orchestration agents, and delivering an enterprise-grade product that balances customer-specific tuning with scalability. Focus on minimizing deployment friction and meeting compliance requirements.

Senior Staff Engineer to lead the development of a Generative AI-powered platform for modernizing legacy applications. The role involves architecting complex distributed systems, designing orchestration agents, and delivering an enterprise-grade product that balances customer-specific tuning with scalability. Focus on minimizing deployment friction and meeting compliance requirements.

Software Engineer to build tooling for application modernization and data migration to MongoDB, focusing on a generative AI platform for code generation and migration. Requires strong backend, distributed systems, and Java ecosystem experience, with streaming systems and data-intensive applications.

Software Engineer to build tooling for application modernization and data migration to MongoDB, focusing on a generative AI platform for code generation and migration. Requires strong backend, distributed systems, and Java ecosystem experience, with streaming systems and data-intensive applications.

Staff Engineer to build AI-powered code transformation tools for modernizing legacy applications. This role involves leading the design, building, and optimization of code transformation workflows and tools, crafting orchestration layers, integration points, and data systems that leverage AI for code generation, build, and test. Requires experience integrating GenAI into large-scale systems and leading AI model integration workflows.