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Facebook Research Intern, Image Sensor Optimization (PhD) in Indianapolis, Indiana


Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.


Facebook Reality Labs Research is looking for upcoming scientists and researchers with great interest in algorithm development and hardware accelerators for image processing, machine learning, and computer vision applications, new sensing and computing architectures, and algorithm/hardware co-design.

Required Skills:

  1. Tuning image sensor operation to optimize sensor performance including SNR, power consumption, etc.

  2. Image sensor characterization

  3. New image sensor architecture exploration

Minimum Qualifications:

  1. Currently has, or is in the process of obtaining a PhD in Electrical Engineering, Computer Science, Physics or related field

  2. Experience with image sensor design or characterization

  3. Experience with chip testing, familiar with testing equipment

  4. 2+ years of independent research experience

  5. Programming experience with Python, Matlab

  6. Interpersonal skills: cross-group and cross-culture collaboration

  7. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

  1. Intent to return to degree-program after the completion of the internship/co-op

  2. Familiar with pixel operation and timing

  3. Knowledge of computer vision algorithms

  4. Track record of publications with cutting edge research results at conferences and Journals such as ISSCC, IISW, IEDM, JSSC, TCAS

Industry: Internet

Equal Opportunity: Facebook is proud to be an Equal 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. Facebook 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