Intern - Research Scientist in Language and Agents

Summary: Kickstart your career with an exhilarating internship at Meta! We are a trailblazing company committed to connecting people and transforming global communication. As a technology leader, we have redefined how a billion active users engage and share information. We are looking for enthusiastic interns to contribute to our Generative AI efforts, spanning various modalities such as images, video, 3D, and audio. This is your opportunity to make significant contributions in artificial intelligence and influence how we perceive and interact with the world. Join us to apply your cutting-edge ideas at an unparalleled scale! Our internships typically range from twelve (12) to twenty-four (24) weeks, with multiple start dates available throughout the year. Key Responsibilities: Create and develop innovative generative AI algorithms and systems utilizing state-of-the-art deep learning techniques. Evaluate and enhance the efficiency, scalability, and stability of algorithms to meet specific project demands. Engage in research that pushes the envelope in intelligent systems, advancing scientific and technological frontiers. Investigate approaches to comprehend the semantics of diverse data types-such as images, video, 3D, text, and audio-and effectively train generative models. Collaborate with fellow researchers and cross-functional teams, articulating your research objectives, progress, and findings with clarity. Share and disseminate your research insights within the company and the broader academic community. Contribute to research initiatives that align with Meta's product development objectives whenever applicable. Minimum Qualifications: Currently pursuing or in the process of obtaining a Ph.D. in Computer Science, Artificial Intelligence, Generative AI, or a related technical discipline. Eligibility for work authorization in the country of employment at the time of hire and throughout the employment duration. Proficient in programming languages such as Python, C++, C, Java, or similar languages. Experience in developing systems that utilize machine learning and/or deep learning methodologies. Preferred Qualifications: Intend to return to academic studies after completing the internship. Demonstrated accomplishments such as grants, fellowships, patents, or first-authored publications in notable workshops or conferences like NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, or similar. Experience working in collaborative team settings, with effective cross-functional communication. Background in enhancing AI techniques, including substantial contributions to open-source libraries and frameworks in the domain of computer vision. Strong analytical abilities with a penchant for tackling challenges using quantitative techniques. Hands-on experience in setting up machine learning experiments and evaluating outcomes. Experience managing complex, large-scale, high-dimensional data from diverse origins. Proficient in applying both theoretical and practical research methods to address real-world problems. Familiarity with deep learning frameworks is highly desirable. Compensation: Compensation ranges from $7,650/month to $12,134/month, plus additional benefits. Industry: Internet Equal Opportunity: Meta proudly upholds Equal Employment Opportunity and Affirmative Action principles. We celebrate diversity and do not discriminate based on race, religion, color, national origin, sex (including pregnancy and childbirth), sexual orientation, gender identity, gender expression, age, disability status, or other legally protected characteristics. We also consider qualified applicants with criminal histories as permitted by applicable law. Meta participates in the E-Verify program as required by law in designated locations. Note that Meta may employ AI and machine learning technologies in our hiring processes. Meta is dedicated to providing reasonable accommodations for candidates with disabilities during recruitment. If you need assistance or accommodations due to a disability, please inform us.

Created: 2026-03-04