Research Scientist Intern - Computer Vision for Sensors and Systems (PhD)

Research Scientist Intern - Computer Vision for Sensors and Systems (PhD)
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Redmond, WA
Meta Reality Labs Research is looking for scientists and researchers with an interest in sensing algorithm and hardware developments for machine learning, computer vision, new sensing and computing architectures, and optical imaging and sensing. The goal of this role is to develop research methods to solve advanced computer vision problems, such as depth perception, scene understanding, and inverse rendering, using new imaging modalities such as polarization imaging. The ideal candidates will have a comprehensive understanding of computational imaging, computer vision, and machine learning algorithms. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern - Computer Vision for Sensors and Systems (PhD) Responsibilities
  • Research, design and prototype new imaging and sensing systems
  • Develop and implement computer vision and machine learning algorithms using new sensing modalities
  • Collaborate with scientists and engineers from a variety of technical backgrounds through all stages of imaging system development
Minimum Qualifications
  • Currently has, or is in the process of obtaining a PhD in the fields of Electrical Engineering, Computer Science, Machine Learning, or related field
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • Strong understanding and hands-on experience with computational imaging, computer vision, and machine learning including but not limited to: super-resolution, depth estimation, inverse rendering, 3D reconstruction, SLAM, and neural rendering.
  • 2+ years of experience programming and image analysis/processing in Python/C++
Preferred Qualifications
  • Experience with the full machine vision pipeline from cameras to high-level algorithms
  • Experience with polarization imaging using polarization-sensitive cameras
  • Familiarity with Mueller and Jones Calculus for analysis of polarized light
  • Familiarity with computation photography, computer graphics, and optical image processing
  • Proven track record of achieving significant results as demonstrated by grants, or fellowships, as well as first-authored publications in major conferences and journals such as CVPR, ECCV, ICCV, ICLR, NeurIPS, SIGGRAPH, Optica, and SPIE
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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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.

$7,800/month to $11,293/month + benefits

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.


Equal Employment Opportunity and Affirmative Action
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.

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.
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 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.
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