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Home›Jobs›Meta (Facebook)›Research Scientist Intern, Video Recommendations (PhD)
Meta (Facebook)

About Meta (Facebook)

Connecting people through innovative technology

Key Highlights

  • Over 2.9 billion monthly active users across platforms
  • Headquartered in Menlo Park, California
  • Valued at over $800 billion
  • Significant investments in Oculus and AR/VR technology

Meta (formerly Facebook) is a leading technology company focused on building the metaverse, with over 2.9 billion monthly active users across its platforms, including Facebook, Instagram, and WhatsApp. Headquartered in Menlo Park, California, Meta has invested heavily in virtual reality and augmente...

🎁 Benefits

Meta offers competitive salaries, equity compensation, generous PTO policies, comprehensive health benefits, and a robust parental leave program. Empl...

🌟 Culture

Meta fosters a culture of innovation and experimentation, encouraging employees to take risks and explore new ideas. The company emphasizes a mission-...

🌐 WebsiteAll 1048 jobs →
Meta (Facebook)

Research Scientist Intern, Video Recommendations (PhD)

Meta (Facebook) • Bellevue, WA, Menlo Park, CA

Posted 3 months ago🏛️ On-SiteInternshipResearch scientist📍 Bellevue📍 Menlo park
Apply Now →

Job Description

Meta is seeking AI Research interns to join our Video Recommendations team within Facebook. Videos (Reels, long videos, and Live streams) are increasingly the formats of choice across the social media industry, and making all these formats successful is a top priority for Facebook, and the core mission owned by this org. Time spent on Facebook watching videos accounts for 1.2+ Billion hours/day, which is over 56% of time spent globally on the App, and this number is expected to continue growing. This team is directly in charge of recommending all sorts of videos to users. In this role, you'll be working primarily with Facebook's video content, which is predominantly driven by our recommendation system. Your job will involve optimizing our system to provide users with the most engaging and high-quality content. Our interns will have the opportunity to participate in the process of framing practical, high-impact challenges in recommendation into rigorous machine learning problems, and bring their own expertise to build innovative solutions under the guidance from our Research Scientists and Software Engineers. More concretely, you will focus on solving end-to-end problems in the intersection of Product, ML and Infra, and serve as a bridge between high-demand business needs and long-term foundational investments via ML approach. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

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