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

Redmond, Washington

Posted in Retail


This job has expired.

Job Info


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 fusion.Egocentric human action recognition and anticipation.Hand motion sequence modeling for hand-object interaction using deep generative models or physical simulation.Representation modeling (e.g., implicit, appearance, geometry) of hands, bodies and objects for fast simulation and tracking. Efficient deep learning (e.g., neural architecture search, sparsity, quantized networks)Interaction design for hands, bodies and objects in virtual reality and augmented reality.Sensor fusion (e.g. of pressure, RF, EXG, IMU) with optical tracking

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 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 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.




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


This job has expired.

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