Facebook Research Scientist in Menlo Park, California
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.
We believe connecting the world is one of the greatest challenges of our generation, and that everyone deserves access to the knowledge, tools and opportunities that come from being connected. Recently we published https://connectivity.fb.com/ summarizing our diverse efforts with multiple partners, including academic researchers, using novel approaches to bringing internet connectivity to the nearly 4 billion people currently without broadband. Come join us and help grow a world class research team to support our Connectivity Lab team working on developing new platforms and solutions for connectivity.
The successful candidate will have demonstrated success as a leading researcher and be adept at collaboratively evaluating problems from a global level to the nanoscale in a variety of domains that include, but are not limited to optical, wireless and wireline communications systems and software with a strong emphasis on application of Machine Learning (ML)/Artificial Intelligence (AI) and efficient use of large data sets across these domains.
Foster a positive, creative, and collaborative environment, encouraging brainstorming and an openness to try new, unconventional ideas
Lead research to advance the science and technology of complex communications systems and intelligent machines in communications networks, including the semantics of data (images, video, text, audio, speech and other modalities)
Devise better data-driven models to develop, plan, and operate communications networks
Lead and collaborate on research projects with a globally based team of researchers inside and outside of Facebook, including universities and industry partners
Collaborate with Facebook engineering and management teams to set clear expectations and create a positive work environment based on accountability using metrics, tools, and processes that regularly assess project progress towards meeting Connectivity Labs goals
Work with Facebook Connectivity engineering, product managers, and our partnership teams to develop path-to-market approaches that transition research to products
Mentor researchers and engineering teams to support Connectivity Lab
Share results internally and externally through means of publications, presentations and blogposts
Ph.D. with 5+ years of experience, MS with 7+ years of experience, or BS with 10+ years of experience in Physics, Electrical Engineering, Computer Science, or a related technical field such as architecting, developing, and launching hardware/software projects and/or services
Demonstrated knowledge dissemination through authored publications, international conference presentations or shipped products
ML/AI basics, and systems basics, including the requisite programming experience (Python or equivalent, and at least one systems-level programming language: C, C++, Java, Go, Rust, or equivalent)
Experience with data analytics (data collection, storage, cleaning, processing with statistics, visualization, and other data related processes)
Experience working on communication systems in a research and/or development capacity
Technical leadership in leading research efforts with a demonstrated experience handling multiple priorities
- Deep understanding of how culture and team dynamics create exceptional teams
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. If you need assistance or an accommodation due to a disability, you may contact us at firstname.lastname@example.org or you may call us at +1 650-308-7837.