PhD Machine Learning Intern (Summer 2026)

Descrição da Vaga

Requisitos

• Currently pursuing a PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field, with a research focus on advanced AI
• Graduation date in Winter 2027 or Spring/Summer 2028
• 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, PyTorch, scikit-learn, or similar ML libraries), 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
• Research experience in one or more of the following: Natural Language Processing, Large Language Models, Deep Learning, Recommender Systems, Learning to Rank, Speech Processing, Graph Learning
• Strong analytical and problem-solving skills, with the ability to bridge research and practical application
• Excellent communication and collaboration skills, especially in interdisciplinary teams
• Familiarity with modern ML infrastructure and large-scale data systems

Responsabilidades

• As a Machine Learning Intern, you’ll contribute to advancing Dropbox’s mission to create a more enlightened way of working through cutting-edge research and applied machine learning
• This internship offers the opportunity to translate your research into real-world impact while gaining experience with large-scale production systems and cross-functional collaboration in a fast-moving, high-impact environment
• Research and prototype innovative machine learning approaches in areas such as Search, Large Language Models (LLMs), Multimodal Content Understanding, and Recommender Systems
• Design and implement end-to-end ML pipelines—from data exploration to model training, evaluation, and deployment—in collaboration with mentors and product teams
• Analyze large-scale datasets to identify opportunities for personalization and improved user experiences
• Partner with Product, Design, and Engineering teams to integrate models into Dropbox products
• Contribute to the team’s technical discussions, offering research-based perspectives to guide experimentation and long-term strategy

Benefícios