Meta
Research Scientist Intern, Monetization Computer Vision (PhD)
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Research Scientist Intern, Monetization Computer Vision (PhD)
Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization. Meta is seeking Research Interns to join the Monetization Generative AI team. We are committed to advancing the field of generative AI by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as generative AI, deep learning, computer vision and natural language processing. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.
Responsibilities
Perform research to advance the science and technology of generative AI. Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities). Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results. Devise better data-driven models of image generation and text generation. Publish research results and contribute to research that can be applied to Meta product development.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Minimum Qualifications
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or relevant technical field Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment Experience in C, C++, Python, Java, or other related programming language Experience building systems based on machine learning and/or deep learning methods
Preferred Qualifications
Intent to return to degree-program after the completion of the internship/co-op Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and ACL Experience with Generative AI, including diffusion models and LLM’s Background in advancing AI techniques in computer vision, including core contributions to open source libraries and frameworks in computer vision Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science Experience solving analytical problems using quantitative approaches Experience setting up ML experiments and analyze their results Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources Experience in utilizing theoretical and empirical research to solve problems Experience working and communicating cross functionally in a team environment
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location