Research Scientist Intern, Language and Multimodal Research for MetaAI (PhD)
Job Summary
Job Description
Meta is seeking Research Interns to join our Generative AI efforts across language and multimodal. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. Interns will develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques. They will also analyze and improve efficiency, scalability, and stability of deployed algorithms, perform research to advance the science and technology of intelligent machines, and collaborate with researchers and cross-functional partners.
Must have:
- Ph.D. in Computer Science or related field
- Experience with Python, C++, C, Java
- Experience building systems based on machine learning/deep learning
Good to have:
- Intent to return to degree program after internship
- Proven track record of significant results
- Experience working cross-functionally in a team environment
- Experience advancing AI techniques, contributions to open-source libraries/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
- Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
- Experience utilizing theoretical and empirical research to solve problems
- Experience with deep learning frameworks
12 skills required
Job Details
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 efforts across language, and multimodal. 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, natural language processing, machine learning, and reinforcement learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.
Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Language and Multimodal Research for MetaAI (PhD) Responsibilities
- Develop novel state-of-the-art generative AI 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 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.
- When applicable, 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 Computer Science, 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, C++, C, Java or other related languages.
- Experience building systems based on machine learning and/or deep learning methods.
Preferred Qualifications
- Intent to return to the 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, ACL, EMNLP, CVPR, ICCV, ECCV, 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.
- 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 for additional information.
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.
$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 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 .
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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About The Company
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.
We want to give people the power to build community and bring the world closer together. To do that, we ask that you help create a safe and respectful online space. These community values encourage constructive conversations on this page:
• Start with an open mind. Whether you agree or disagree, engage with empathy.
• Comments violating our Community Standards will be removed or hidden. So please treat everybody with respect.
• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
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• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
For a full listing of our jobs, visit https://www.metacareers.com
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