2027 Intern

Description

Internship Details

Requirements

• Currently pursuing a PhD or MS in Computer Science, specializing in Computer Vision, Graphics, Machine Learning, or a closely related field. Exceptional senior undergrads with strong research output will be considered.
• Solid track record or coursework in generative modeling (diffusion / flow matching / autoregressive), computer graphics / vision, and/or 3D scene representation.
• Proficient in modern deep learning frameworks (PyTorch) with strong experimental rigor.
• About the company
• The company empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. The company’s industry-leading offerings including the company Acrobat Studio, the company Express, the company Firefly, Creative Cloud, the company Experience Platform, the company Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
• We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At the company, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
• Let’s the company together
• At the company, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about the company life, including our values and culture , focus on people, purpose and community , the company for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
• The company is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
• The company aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email the company's site .
• AI Use Guidelines for Interviews:
• At the company, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .

Conditions

Duration: 3 months

Starting date: From February 2027

End date: No later than 30 November 2027

Eligibility: master or Ph.D. student

Hybrid: 3 days per week in the office, 2 days per week work from home

Annual Pay: £75,000

About the role

Research at the intersection of 3D, Image, Video, and Generative AI

Can we bridge the compact, physically consistent structure of 3D representations with the rich temporal priors of generative video models?

Join the company Research London to tackle core problems in multi-modal generation and controllable editing. We are looking for PhD and MS researchers to explore how unifying image, video, and 3D modalities can yield richer, more controllable generative spaces.

The Research Focus:

Bridge 3D & Generative Video: Investigate compact 3D representations (e.g., neural fields, Gaussian splatting, explicit geometry) alongside video diffusion/autoregressive models to unlock precise spatial and temporal control.

Combine Generative Models & Classical Rendering: Explore hybrid pipelines integrating physically based rendering (PBR) with generative/agentic workflows.

Top-Tier Publication: Develop novel methods and target impactful publications at top-tier venues (SIGGRAPH, ACM TOG, CVPR, ICCV, NeurIPS, ICLR).

Thesis Alignment: We actively prioritize research problems that can serve as core chapter(s) of your dissertation and establish sustained collaborations well beyond the internship.

Resources & Environment:

Compute & Infrastructure: Large-scale GPU clusters and specialized datasets to train and evaluate state-of-the-art models.