Research Scientist, Machine Learning (PhD)

Meta builds technologies that help people connect, find communities, and grow businesses through social technology and immersive experiences.
$150,000 - $300,000
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Research Scientist, Machine Learning (PhD)

Meta is leading a transformative change in technology, with their Machine Learning teams at the forefront. As a Research Scientist in Machine Learning, you'll tackle unprecedented projects that impact how people connect worldwide. The role combines system engineering with cutting-edge machine learning, working on models that leverage trillions of actions. You'll collaborate with world-class engineers and researchers on complex social data and prediction problems.

The position requires expertise in developing scalable classifiers and machine learning tools, adapting methods for modern parallel environments, and building strong cross-functional partnerships. You'll work with Meta's innovations in Distributed Computing, Artificial Intelligence, and Databases, using infrastructure from the Open Compute project.

The ideal candidate should have a PhD in a relevant field, with experience in machine learning, NLP, or AI. You'll need strong programming skills, experience with ML frameworks, and a track record of high-quality deliverables. Meta offers the opportunity to work on massive-scale problems while contributing to the future of social technology and immersive experiences.

This role at Meta combines research excellence with practical implementation, requiring both technical depth and collaborative skills. You'll be part of Meta's journey beyond traditional social media into new frontiers of technology, including AR and VR, helping shape the next evolution of human connection.

Last updated a day ago

Responsibilities For Research Scientist, Machine Learning (PhD)

  • Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models
  • Suggest, collect and synthesize requirements and create effective feature roadmap
  • Build strong cross functional partnerships and code deliverables with the engineering team
  • Adapt standard machine learning methods to best exploit modern parallel environments
  • Own the whole ML life-cycle, define projects and drive excellence across teams

Requirements For Research Scientist, Machine Learning (PhD)

Python
JavaScript
  • PhD degree or completing a postdoctoral assignment in Computer Science, Computer Vision, Machine Learning or relevant technical field
  • Experience programming in a relevant programming language
  • Research and/or hands-on experience in machine learning, NLP, recommendation systems, pattern recognition, data mining or artificial intelligence
  • Experience with frameworks such as PyTorch, TensorFlow or equivalent
  • Experience with scripting languages such as Python, Javascript or Hack
  • Experience building and shipping high quality work
  • Experience in systems software or algorithms
  • Must obtain work authorization in country of employment

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