Role Description

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. You’ll collaborate with experienced engineers and researchers to design, prototype, and evaluate scalable AI/ML systems that power Dropbox Dash’s universal search and intelligent organization features. Your work will shape how millions of people find information, collaborate, and focus on meaningful work.

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.

Responsibilities

• 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

Requirements

• 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

Preferred Qualifications

• Publications in top-tier ML, AI, or NLP conferences (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, KDD, SIGIR, CVPR)
• Experience with LLM-based applications or Retrieval-Augmented Generation (RAG) systems
• Interest in translating research insights into product impact for real-world users
• Familiarity with the end-to-end process of building AI prototypes: from data exploration and model iteration to evaluation and user testing.
• Passion for swiftly moving from idea to experiment, comfortable with ambiguous or evolving project goals.

Compensation

US Pay Range

$11,500—$12,500 USD

The rate listed above is the expected monthly rate for this role, subject to change.

Dropbox is a Virtual First company and is open to hiring candidates in all authorized locations.

Company Description

Dropbox isn’t just a workplace—it’s a living lab for more enlightened ways of working. We're a global community of bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself— Dropbox is ready for you.

Team Description

The Dropbox Emerging Talent program shapes the future of work by empowering the next generation of innovators. We transform potential into impact by connecting exceptional early-career professionals with meaningful challenges that can touch hundreds of millions of lives. Our program allows interns and apprentices to work alongside industry experts, bringing fresh perspectives while solving interesting problems. We foster growth through hands-on learning, dedicated mentorship, and a vibrant community that supports your journey from day one. If you're ready to launch your career in an environment that combines real-world impact with genuine connection, join our Emerging Talent program. We will be hiring for these departments in 2025: Engineering, Customer Experience, Sales, Legal, Office of the CEO

Benefits

Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families.

Our benefits and perks programs include:

• Medical, Dental, and Vision coverage
• Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh
• Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more
• Mental health and wellness benefits
• Monthly Internet Allowance
• Intern Social Stipend
• Annual Emerging Talent Summit, travel and hotel accommodations provided

Additional benefits details are available upon request.

Dropbox supports responsible use of AI for preparation, but misrepresentation of skills or experience is not permitted. See our AI philosophy.

Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, enABLE, TODOS (Latinx), Pridebox (LGBTQ), Vets at Dropbox, and Women at Dropbox.