Research Scientist Intern, Machine-Learning & Physics (PhD)

Meta Platforms, Inc.
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Job Description

The Meta Reality Labs (RL) is committed to doing its part by developing technology and shipping the products that are necessary to make AR/VR compelling, pervasive and universal. As a PhD intern at FRL, you will be researching and developing, state-of-the-art, physics-inspired, machine learning technologies. The ideal candidate is pursuing a PhD with a strong background in machine learning, deep learning, 3D data processing (ideally through deep neural networks) and physics inspired neural networks. You should be able to take a real-world problem and develop physics-inspired machine learning methods to model real-world object interactions to estimate the final configuration, forces/pressure and the impact of different material properties. It’s expected that the candidate has solid hands-on experience with training large-scale ML models on cloud compute infrastructure. The candidate should also excel at working in a dynamic cross-functional environment with great communication skills. Our internships are twelve (12) to sixteen (16) weeks long and we have various start dates throughout the year.

Research Scientist Intern, Machine-Learning & Physics (PhD) Responsibilities

  • Advance the state-of-the-art in machine learning towards modeling physical phenomenon ie contact models using learning approach.
  • Build advanced physics-based neural-networks involving complex geometries.
  • Effectively collaborate across cross-functional teams to define functional requirements and drive deployment.
  • Implement the system learning framework in PyTorch.
  • Present regularly to large cross-functional teams and communicate progress.
  • Engage the wider academic community to pursue research in this direction through publications and/or workshop/challenge/tutorial organization top-tier conferences

Minimum Qualifications

  • Currently in the process of obtaining a Ph.D. degree in the field of Computer Science, Machine-Learning, Computer Vision/Graphics, Computational Physics/Mechanics/Aerospace or similar field
  • 3+ years of experience, including PhD research, working in machine learning, computer vision, 3D/mesh/point-cloud processing using neural networks
  • Experience with C++ or Python
  • Hands-on experience with open-source deep-learning frameworks such as PyTorch, TensorFlow, MxNet
  • Interpersonal experience: cross-group and cross-culture collaboration
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

  • Experience working on novel machine-learning problems exhibited in the form of publications in top-tier conferences/journals such as NeurIPS, CVPR, SIGGRAPH and similar venues
  • Intent to return to degree-program after the completion of the internship
  • Research experience in physics-informed neural networks
  • Experience with biomechanical modeling & simulations, computational mechanics, advanced optimization techniques
  • Experience with commercial finite-element simulation tools (ANSYS, Abaqus, etc) or open-source packages
  • Experience with automation, robotics, sensors, 3D computer vision is an added bonus

Company Info.

Meta Platforms, Inc.

Meta Platforms (formerly known as Facebook Inc.) is a large technology company that was founded in 2004 by Mark Zuckerberg and several of his college roommates. The company is based in Menlo Park, California, and is primarily known for its flagship social media platform, Facebook. In addition to its consumer-facing products, Meta Platforms also offers a range of advertising and marketing services to businesses and organizations.

  • Industry
    Advertising,Consumer electronics,Social media Company,Artificial intelligence
  • No. of Employees
    76,000
  • Location
    1 Hacker Way, Menlo Park, CA 94025, USA
  • Website
  • Jobs Posted

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