Research Scientist Intern, Video Content Optimizer
1 week ago
Meta is seeking highly motivated and skilled individuals to join our Video Recommendations team as Research Scientist Interns. This role offers a unique opportunity to work on cutting-edge AI research and contribute to the development of Meta's video content recommendation systems.
About the RoleThis internship will provide you with hands-on experience in optimizing our video content recommendation system to deliver high-quality and engaging experiences for users. You will work closely with our Research Scientists and Software Engineers to develop innovative solutions that drive business growth and user satisfaction.
Key Responsibilities- Lead efforts towards ambitious research goals, identifying intermediate milestones and gathering insights step by step.
- Conduct innovative research on deep-learning algorithms and models that can be deployed into Meta's recommendation products, meeting industry-level requirements on efficiency, scalability, and stability.
- Collaborate with researchers and cross-functional partners, communicating research plans, progress, and results.
- Publish research results and contribute to research that can be applied to Meta product development.
- Candidates must be currently pursuing or have obtained a Ph.D. degree in Computer Science or a related field.
- Familiarity with machine learning and common deep learning architectures is essential.
- Experience with Python, especially machine learning libraries such as PyTorch and TensorFlow, is required.
META offers competitive compensation and benefits packages, including:
- A salary range of $78,000 to $112,930 per year (or approximately $6,500 to $9,410 per month), depending on skills, qualifications, and location.
- A comprehensive health insurance package.
- A 401(k) plan with company match.
- Flexible work arrangements, including remote work options.
META builds technologies that help people connect, find communities, and grow businesses. Our mission is to unlock human potential through technology. We're committed to creating a diverse and inclusive workplace where everyone has the opportunity to succeed.
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