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

AT Meta
Meta

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

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:

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  • 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
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 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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

$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.

Client-provided location(s): Redmond, WA, USA
Job ID: a1KDp00000E2JzFMAV
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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