Research Scientist Intern, Algorithm-System Co-design and Optimization(PhD)

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Job description

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.

Summary

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 Lab Research is looking for upcoming scientists and researchers with great interest in algorithm/hardware co-design and acceleration of 'machine learning'/'computer vision' applications, efficient sensing and ML algorithms for AR/VR applications. Our internships are twelve (12), to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.

Required Skills

• Research on design / model / execution of ML algorithm on hardware architectures.
• Research on novel of ML or computational imaging algorithms for applications and optimize existing algorithms.
• Collaboration with and support of other researchers across various disciplines.
• Communication of research agenda, progress and results.
• Prototyping, building and characterizing experimental systems and custom hardware.

Minimum Qualification

• Currently has, or is in the process of obtaining a PhD in the fields of Electrical Engineering, Computer Science, or related field.
• Experience developing machine learning and computer vision algorithms.
• 2+ years of lab experience carrying out independent research.
• 2+ years experience in programming, simulation and modelling experience with language such as C/C++, Python.
• Interpersonal skills: cross-group and cross-culture collaboration.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred Qualification

• Experience in Deep Learning algorithm development frameworks such as PyTorch, Tensor Flow, etc.
• Experience in Deep Learning algorithm development with NAS.
• Experience in machine learning, computer vision, and computational imaging algorithms with hardware constraints.
• Experience in ASIC development is a plus.
• Hardware prototyping and System-on-Chip design using embedded systems such as FPGAs, DSP processors etc is a plus.
• Demonstrated experience via an internship, work/research experience, or widely used contributions to open source projects.
• Track record of publications with cutting edge research results at conferences and Journals (CVPR, ICCV, ISCA, ISSCC, etc).
• Intent to return to degree-program after the completion of the internship/co-op.

EOE

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 .