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Research Scientist Intern, Generative AI (PhD)

Research Scientist Intern, Generative AI (PhD)

3 Weeks ago • Upto 1 Years • Artificial Intelligence

About the job

10 skills required for this role

Test your skills to join the top 1% applicants for this job

unity

algorithms

reinforcement-learning

computer-vision

deep-learning

python

pytorch

data-science

cross-functional

game-texts

Job Description

Meta seeks Research Science Interns (PhD) for their Generative AI team. The internship (12-24 weeks) focuses on developing cutting-edge generative AI algorithms and systems using deep learning techniques across various modalities (images, video, 3D, audio). Responsibilities include researching intelligent machines, training generative models on diverse data, collaborating with researchers, and disseminating research findings. The ideal candidate possesses a PhD (or is pursuing one) in a relevant field, strong Python/PyTorch skills, and experience with large-scale data analysis. Prior research achievements (publications, grants) are highly valued.

Must have:

Ph.D. in relevant field
Experience with Python and PyTorch
Develop novel generative AI algorithms
Collaborate with researchers
Disseminate research results

Good to have:

Experience with large-scale data
Deep learning framework experience
Publications at leading conferences
Experience with open source libraries
Experience setting up ML experiments

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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 Meta offers countless ways to make an impact in a fast growing organization. Meta is seeking Research Interns to join our Generative AI research efforts across modalities (images, video, 3D, audio, etc.) . We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as generative modeling, deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern, Generative AI (PhD) Responsibilities

Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques.

Perform research to advance the science and technology of intelligent machines.

Perform research that enables learning the semantics of and training generative models of data (images, video, 3D, text, audio, and other modalities).

Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.

Disseminate research results.

Minimum Qualifications

Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Audio Processing, Artificial Intelligence, Generative AI, or relevant technical field.

Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Experience with Python and PyTorch.

Preferred Qualifications

Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.

Experience in utilizing theoretical and empirical research to solve problems.

Experience with deep learning frameworks.

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL or similar.

Experience working and communicating cross functionally in a team environment.

Experience in advancing AI techniques, 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 analyzing their results.

Locations

Data Center

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity and Affirmative Action

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to .

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