Technical Interns and New Grads

Machine learning intern pursuing a Ph.D. who will build and deploy production-scale models and pipelines, conduct an end-to-end research project, and collaborate with engineering and product teams on blockchain and cryptocurrency applications.

AI Engineering Intern building generative AI agents and RAG pipelines to automate internal engineering workflows and improve productivity. Requires Python, AI/ML and LLM project experience, Git familiarity, and current enrollment in a technical degree program.

Research and develop computer vision and deep learning algorithms for autonomous drones, taking ownership of projects from prototyping through product integration. The internship requires strong C++ or Python and PyTorch skills, mathematical foundations, and software engineering ability.

Develop and deploy machine learning models for biomedical research and AI product development, collaborating with scientific, engineering, and product teams. Requires a master's degree with 2–4 years of experience or a PhD with 0–2 years, plus strong Python and ML development skills.

Build and maintain tooling, evaluation systems, quality gates, and infrastructure for MongoDB's agent skills and AI platform. Requires 2+ years building production software, developer tools, CLIs, test infrastructure, or CI/CD, with strong fundamentals in API design, testing, and reasoning about nondeterministic AI systems.