Generative AI Research Intern

Summary

Meta is excited to invite passionate individuals to apply for Research Intern positions within our Generative AI team! We are dedicated to pushing the boundaries of artificial intelligence to enhance our understanding of the world. If you have a strong interest in generative modeling, deep learning, reinforcement learning, natural language processing, machine learning, or applied mathematics, we want to hear from you! As an intern, you will have the opportunity to drive innovative algorithmic advancements and put your ideas into practice on a large scale. Our internships typically last between twelve (12) to twenty-four (24) weeks, with various start dates throughout the year.

Responsibilities

• Develop cutting-edge generative AI algorithms and systems using deep learning techniques, focusing on enhancing efficiency, scalability, and stability of deployed algorithms as needed.
• Engage in research that pushes the envelope of intelligent machine technology.
• Conduct studies to improve the semantic understanding and training of generative models from data.
• Collaborate effectively with researchers and cross-functional teams, sharing research plans, updates, and outcomes.
• Share your research findings with the scientific community.

Minimum Qualifications

• Currently pursuing or in the process of obtaining a Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
• Ability to obtain work authorization in your employment country and maintain it throughout your internship.
• Proficiency in programming languages such as Python, C++, C, or Java.
• Experience in building systems utilizing machine learning and/or deep learning methods.

Preferred Qualifications

• Intent to return to your degree program after the internship.
• Demonstrated success through grants, fellowships, patents, or significant publications at major conferences like NeurIPS, ICML, ICLR, and others.
• Knowledge of reinforcement learning and training AI agents.
• Experience in team collaborations with excellent communication skills.
• Contributions to open-source projects in advancing AI techniques.
• Analytical problem-solving using quantitative approaches.
• Experience in conducting and analyzing ML experiments.
• Proficiency in handling complex, large-scale data from diverse sources.
• Ability to apply both theoretical and empirical research to problem-solving.
• Familiarity with deep learning frameworks.

Compensation

$7,650/month to $12,134/month plus benefits.

Industry: Internet

Equal Opportunity

Meta is an Equal Employment Opportunity and Affirmative Action employer. We welcome applicants from diverse backgrounds and do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, or other legally protected characteristics. We also consider applicants with criminal histories per applicable law. Meta may utilize artificial intelligence and machine learning in the recruitment process.

We are committed to providing reasonable accommodations for candidates with disabilities during the recruitment process. If you require assistance or accommodations, please let us know.