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Research Scientist Intern, Machine Perception for Input and Interaction (PhD)

AT Meta
Meta

Research Scientist Intern, Machine Perception for Input and Interaction (PhD)

Zurich, Switzerland

Reality Labs (RL) teams are looking for exceptional interns to help us create next generation interaction technologies for virtual and augmented reality. Join a full-stack team working on computer vision, machine learning, geometric and appearance modeling, physically-based modeling, sensor design and fusion, and human computer interaction. We are accepting applications from those interested in (but not limited to) the following areas:Tracking of hands, bodies and objects and their interactions through machine learning, computer vision and sensor fusionEgocentric human action recognition and emotion recognitionHand motion sequence modeling for hand-object interaction using deep generative models or physical simulationRepresentation modeling (e.g., implicit, appearance, geometry) of hands, bodies and objects for fast simulation and trackingEfficient deep learning (e.g., neural architecture search, sparsity, quantized networks)Interaction design for hands, bodies and objects in virtual reality and augmented realitySensor fusion (e.g. of pressure, RF, EXG, IMU) with optical trackingEfficient and generalizable detectors for predicting keypoints, segmentations, normals, and depth*Accurate and efficient 3D representations of deformable shapes such as clothing and hair

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Research Scientist Intern, Machine Perception for Input and Interaction (PhD) Responsibilities:
  • Design and execution of algorithms in the domain of computer vision, machine learning, computer graphics, sensor fusion, or HCI software and hardware prototyping
  • Design of user studies and experiments
  • Collaboration with other researchers across various disciplines
  • Communication of research agenda, progress, and results
Minimum Qualifications:
  • Currently has, or is in the process of obtaining, a PhD degree in EE/CS, Applied Math or a related STEM field
  • Experience in one or more of the following: computer vision (e.g. tracking, pose estimation, action/emotion recognition), computer graphics (e.g. appearance, geometry, physically-based modeling), robotics (state estimation, optimal control), machine learning (e.g. efficient deep learning, domain adaptation, transfer learning), natural language processing, or human-computer interaction
  • Excellent communication skills
  • High levels of creativity and problem solving capabilities
  • Experience with C++ or Python
  • Experience with ML frameworks such as PyTorch, Tensorflow, etc.
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or first-authored publications at leading journals or conferences such as CVPR, ECCV/ICCV, BMVC, NeurIPS, ICML, ICLR, CHI, SIGGRAPH/SIGGRAPH Asia, ICRA, IROS, RSS, TPAMI, IJCV, etc.
  • Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experiences working on high volume multi-sensor streaming data processing and real-time multi-sensor, in particular cameras, fusion for computer vision and machine learning systems
  • Experiences on optimizing and deploying deep learning models on SoC of mobile devices for high performance real time applications
  • Experience with Machine Learning for 3D data (such as meshes, point clouds, gaussian splatting, and voxels)
  • Experience with Machine Learning for Visual Synthesis
  • Intent to return to degree program after the completion of the internship/co-op
  • Experience working and communicating cross functionally in a team environment
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.

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.

Client-provided location(s): Zürich, Switzerland
Job ID: a1KDp00000E2JCwMAN
Employment Type: Intern

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led

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