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Facebook Research Engineering Intern, ML for Antenna Design (PhD) in Pierre, South Dakota

Intro:

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 Reality Lab's Wireless Technology Engineering for Devices (TED) group is looking for a research engineering intern to join our antenna team on Antenna AI systems for AR/VR products.

This is an internship position based in Menlo Park, CA. Our internships are twelve (12) to sixteen (16) weeks long and we have various start dates throughout the year.

Required Skills:

  1. Explore and research new and emerging machine learning based EM algorithm development for AR/VR products

  2. Work closely with ML/AI engineers and Antenna engineers on building AI platform for antenna simulation

Minimum Qualifications:

  1. Currently has, or is in the process of obtaining a PhD in computer science, electrical engineering(Focus on EM field and waves, Antenna theory, Wireless Design), or related field

  2. Experience with EM simulation software, such as CST and HFSS

  3. Hands-on experience with one or more deep learning/ML frameworks such as Tensorflow, PyTorch or Keras

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

  5. 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. Research publications in conferences or journals

  3. Knowledge of training data augmentation and large dataset preparations

  4. Experience with real-time systems

  5. Experience in working with GPU, cloud systems, profiling/low-level optimizations, Cuda/CuDNN

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 accommodations-ext@fb.com.

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