PhD Machine Learning Intern

February 8

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Dropbox

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Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration.

Cross-platform file sync • File sharing • Online backup • Cloud storage • Collaboration

1001 - 5000 employees

Founded 2007

🏢 Enterprise

⚡ Productivity

📋 Description

• At Dropbox, interns don’t just watch from the sidelines—they’re integral members of the team. As a PhD Machine Learning intern, you’ll partner with world-class engineers and researchers in our New Initiatives organization, where you’ll tackle cutting-edge challenges at the intersection of frontier AI research and real-world application. Throughout your internship, you’ll receive mentorship, collaborate on impactful projects, and help shape the future of Dropbox’s AI strategy. • Within Dropbox, New Initiatives is all about innovation and exploration. Our group builds and experiments with next-generation AI-driven products—from advanced large language models to brand-new user experiences that blend research breakthroughs with Dropbox’s core mission. If you thrive on exploring uncharted territory and rapidly iterating on new ideas, you’ll feel right at home here. • Explore & Prototype: Investigate cutting-edge research in areas like knowledge distillation, agentic AI, and multilingual LLMs, translating conceptual ideas into working demos or internal proofs of concept. • Applied AI Research: Work on real-world challenges—e.g., how to efficiently summarize large collections of documents, build agentic workflows, or orchestrate advanced reasoning models—and apply novel techniques to solve them. • Collaborate & Iterate: Partner closely with product managers, designers, and other engineers to brainstorm innovative applications, gather feedback, and iterate on prototypes. • Experiment & Evaluate: Design experiments to test your hypotheses, evaluate AI model performance, and analyze user impact. You’ll move quickly, learning what works and discarding what doesn’t. • Champion New Ideas: Help identify emerging trends in AI that could benefit Dropbox users, providing technical insight and feasibility assessments for future product initiatives.

🎯 Requirements

• PhD Student in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field, with a research focus on advanced AI (e.g., NLP, multimodal learning, LLMs, or similar). • Graduation date in Spring 2026. • Proven experience in applied AI, through research publications, significant projects, or internships where you built or tested advanced ML solutions. • Strong coding skills (e.g., Python), plus an ability to quickly prototype and iterate on cutting-edge ideas. • Curiosity and drive to explore novel ML methodologies and translate them into practical applications that solve user needs.

🏖️ Benefits

• High-Impact Work: You won’t just be observing; you’ll be contributing to AI initiatives that could shape the next phase of Dropbox’s products. • Learn from Experts: Collaborate with a diverse team of engineers, product managers, and researchers who have deep expertise in both ML and large-scale software systems. • Innovative Culture: Push the boundaries of what AI can do. Dropbox fosters experimentation and creative problem-solving—especially in New Initiatives. • Mentorship & Growth: Every intern is paired with a dedicated mentor to help guide projects, provide feedback, and ensure a meaningful learning experience. • Community & Connection: Join an intern cohort, participate in social and professional development events, and build your network for the future.