POSTED Dec 13

Research Scientist Intern, GenAI Research, Language/Multimodal (PhD)

at Meta ⋅ Bellevue, WA, Menlo Park, CA

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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. We are committed to advancing the field of Generative AI by making fundamental advances in technologies to help interact with our world and empower content creation. We are seeking individuals passionate in areas such as LLM post training and multimodal content understanding. 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.

Develop novel state-of-the-art computer vision algorithms and corresponding systems, leveraging various deep learning techniques

Based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms

Perform research to advance the science and technology of intelligent machines

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

Publish research results and contribute to research that can be applied to Meta product development

Minimum Qualifications

Currently has or is in the process of obtaining a Ph.D. degree in NLP, or 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 with Python or other related 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 first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP or similar

Experience working and communicating cross functionally in a team environment

Experience in advancing AI techniques in computer vision, including core contributions to open source libraries and frameworks in computer vision

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 with deep learning frameworks

For those who live in or expect to work from California if hired for this position, please click here for additional information.

Locations

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.

$7,800/month to $11,293/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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 here.

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 accommodations-ext@fb.com.

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