Meta
AI

Research Scientist Intern AI ML Core Ads Growth PhD

Meta · London, ENG, GB

Actively hiring Posted about 1 month ago

Role overview

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.

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 benefits at Meta.

What you'll work on

  • Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models.
  • Suggest, collect and synthesize requirements and create effective feature roadmaps.
  • Code deliverables in tandem with the engineering team.
  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

What we're looking for

  • Intent to return to degree-program after the completion of the internship/co-op
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or open-source code contributions
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading conferences or journals
  • Demonstrated creativity and quick problem solving capabilities
  • Experience with large-scale data analysis and processing
  • Interpersonal experience: cross-group and cross-culture collaboration

Tags & focus areas

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Internship Ai Machine Learning