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Research Engineer, Eye Tracking (PhD)

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Meta

Apr 23

Applications are closed

  • Job
    Full-time
    Entry Level
  • Research & Development
    Software Engineering
  • Redmond

Requirements

  • Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Currently has or is in the process of obtaining a PhD in the field of Computer Science, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Experience with Python.
  • Experience with a common machine learning framework, ex: PyTorch.
  • Experience with Machine Learning Computer Vision.
  • Experience reasoning about improving performance (speed) of Machine Learning systems.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
  • Preferred Qualifications:
  • Experience with C++.
  • Experience with non-Machine Learning computer vision, ex: OpenCV.
  • Experience working in AR/VR.
  • Experience developing software in a research environment.
  • Familiarity with optics, lasers, and sensors.
  • Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
  • Experience working and communicating cross functionally in a team environment.

Responsibilities

  • Design, implement, and evaluate Machine Learning and Computer Vision-based eye tracking models and systems.
  • Work with software engineers, research scientists, electrical engineers, and mechanical engineers to incorporate eye tracking models with demos, data collection systems, and other eye tracking systems.
  • Create tools, infrastructure, and documentation to accelerate research.
  • Collaborate with other research and engineering teams to identify gaps, build solutions, and transfer technology.
  • Perform code reviews that improve software engineering quality.
  • Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving.

FAQs

What is the focus of the eye tracking team within RL-R?

The eye tracking team is working on research to enable eye tracking for everyone everywhere, which is key to enabling many groundbreaking experiences in augmented and virtual reality (AR/VR).

What kind of technologies will the Research Engineer work on?

The Research Engineer will focus on applying machine learning and computer vision to eye tracking problems, developing technologies that will power future AR/VR devices.

What kind of collaboration can the Research Engineer expect within the team?

The Research Engineer will collaborate with research scientists, electrical engineers, mechanical engineers, and user experience designers to work on cutting-edge prototypes, technologies, and toolsets that can define a paradigm shift in how we interact with our surroundings.

What is the atmosphere like within Meta’s Reality Labs Research team?

The team at RL-R is constantly learning, diving into new areas with unfamiliar technologies, and embracing the ambiguity of AR/VR problem solving. It is an atmosphere of innovation and exploration as we make science fiction real and change the world.

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Meta

Technology
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

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.