Research Scientist Intern, ML/Graphics & Physics-Simulation (PhD)

Facebook wordmarkFacebook wordmarkFacebook
Research Scientist Intern, ML/Graphics & Physics-Simulation (PhD)
Facebook wordmarkFacebook wordmarkFacebook
Location pin icon
Redmond, WA
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 RL, 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 computational mechanics, machine learning and design optimization. You should be able to take a real-world problem and develop both physics-based, simulation models and physics-inspired, machine learning methods with a goal towards design optimization. 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) to twenty four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, ML/Graphics & Physics-Simulation (PhD) Responsibilities
  • Advance the state-of-the-art for physics-inspired, machine learning models
  • Develop learning and optimization frameworks to explore the industrial design space for AR/VR systems
  • Build advanced physics-based, biomechanical simulations involving complex geometries
  • Effectively collaborate across cross-functional teams to define functional requirements and drive deployment
  • Implement the system learning framework in C++ or Python using/extending the existing deep-learning frameworks such as 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, graphics, computer vision, and any combination of: finite element methods, computational mechanics, advanced optimization techniques
  • Experience with commercial finite-element simulation tools (ANSYS, Abaqus, etc) or open-source packages
  • Experience with mesh processing and topological optimization involving complex geometries
  • 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
  • Experience with automation, robotics, sensors, 3D computer vision
Locations
About Meta
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.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
$7,650/month to $10,250/month + benefits

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta's Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.