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Top Skills:
AICRMSalesforce
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The role involves leading application performance improvements across multiple platforms, focusing on measurable metrics and driving engineering standards and workflow optimization, using both hands-on coding and strategic influence.
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Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
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Top Skills:
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Role Description
Dropbox powers collaboration and cloud infrastructure for over 700 million registered users worldwide. We’re building the next generation of scalable storage, distributed compute, large-scale content processing, and secure infrastructure, with AI/ML workloads top-of-mind.
As a PhD Systems & AI/ML Research Intern, you’ll work on meaningful infrastructure problems at the intersection of distributed systems, backend services, and AI/ML workloads. Supported by senior engineers, you’ll own a project aligned with your research, that results in a working prototype with the goal of a submission for adoption internally and external publication. Come help us define and build the infra layer for our next-gen products.
Responsibilities- Execute a defined engineering/research project aligned with your research.
- Implement a prototype that addresses a concrete infrastructure or AI-systems challenge.
- Build and run benchmarks using realistic workloads to measure performance, reliability, or security improvements.
- Document the design and implementation, including assumptions, architecture, tradeoffs, and evaluation results.
- Deliver a final artifact that includes a working prototype, reproducible results, technical write-up, and internal presentation.
- Collaborate with mentors to refine the approach, validate results, and, if appropriate, prepare findings for internal adoption or external publication.
- PhD candidate in Computer Science or a related field graduating between Winter 2026 and Spring 2028.
- Proven experience in systems/infrastructure and/or AI/ML through research publications, significant projects, or internships where you built or tested advanced solutions.
- Strong coding skills (e.g., Python, Rust, Go, C++) plus an ability to quickly prototype and iterate on cutting-edge ideas.
- Curiosity and drive to explore novel systems methodologies and translate them into practical applications that solve practical needs.
- Excellent communication and collaboration skills, especially in interdisciplinary teams.
Preferred Qualifications
- Prior systems publications, open-source contributions, or experience operating large-scale infrastructure
- Interest in translating research insights into product impact for real-world users
- Familiarity and passion for swiftly moving from idea to experiment, comfortable with ambiguous or evolving project goals
US Pay Range
$12,500—$12,500 USD
Dropbox New York, New York, USA Office
New York, NY, United States
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
