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Research Engineer, Vision & Language (University Grad)

Location: London
Company: Facebook
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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 AI Research (FAIR) is one of the top industrial research organizations in the world. In the FAIR Vision & Language team, we publish groundbreaking papers and release frameworks / libraries that are widely used in the open-source community. We also collaborate closely with Applied Research and Facebook Reality Labs to bring the latest research findings to production. We are currently seeking multiple talented Research Engineers with experience in Computer Vision, Audio and/or NLP to join either our London or Paris sites. Research engineers in FAIR drive impact by: (1) publishing state-of-the-art research papers, (2) open sourcing high quality code and reproducible results for the community, and (3) bringing the latest research to Facebook products for connecting billions of users. The chosen candidate(s) will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.
Required Skills:
- Develop highly scalable algorithms based on machine learning and neural network methodologies.
- Collaborate with Facebook AI Research (FAIR) scientists to facilitate research that enables learning the semantics of data (images, videos, text and/or audio).
- Apply knowledge of relevant research domains along with expert coding skills to platform and framework development projects.
- Analyze, process, and annotate large datasets for use in the training and evaluation of AI systems for use in both research and production tasks.
- Adapt machine learning and neural network algorithms to best exploit modern parallel environments (e.g. distributed clusters, GPUs, TPUs, etc.).
Minimum Qualifications:
- Currently has or in the process of obtaining BS, MS, or PhD in computer science or related field.
- 1 or more years experience with deep learning and at least one of computer vision, NLP, or audio.
- Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
- Industrial research experience in computer vision, NLP, or audio.
- Software engineer experience demonstrated via an internship, work experience, coding competitions.
- Publication track record at conferences such as CVPR, ACL, ICASSP, NeurIPS, ICLR, etc.
Industry: Internet
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