Facebook Research Scientist, Connectivity Labs - ML/AI Communications 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. That’s why we, along with other tech companies, launched Internet.org, a global partnership to make the Internet available to the two thirds of the world's population that doesn’t have it. The Connectivity Labs team works on developing new platforms and solutions for connectivity. Connecting the un- and under-connected requires advanced technological breakthroughs, and Machine Learning (ML)/Artificial Intelligence (AI) is uniquely positioned to make communication systems more efficient using large datasets at various stages.
We are looking for someone who has demonstrated success as a leading researcher and is 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. Come join us and help grow a world class research team to support our connectivity efforts.
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 intelligent machines in communications networks and systems, 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
Champion research, engineering, and operational excellence for establishing metrics, tools, and processes to regularly assess project progress and improvement
Contribute research that can be applied to Facebook product development
Lead and collaborate on research projects with a globally based team, including universities and industry partners
Conduct research to advance the science and technology of complex communications components and systems in support of Connectivity Labs' mission
Mentor researchers and engineering teams to support Connectivity Labs
Collaborate with engineering and management teams to set clear expectations and create a positive work environment based on accountability
Work with Facebook Connectivity engineering, product managers, and our partnership teams to transition research to products
Share results internally and externally through means of publications, presentations and blogposts
B.S. or M.S. in Physics, Electrical Engineering, Computer Science, or a related technical field
ML/AI 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)
Demonstrated track record of starting projects, research labs, or companies
Experience working on communication systems or networks
10+ years of technical leadership experience architecting, developing, and launching hardware/software projects and/or services
Experience with technical leadership in leading research efforts
Experience handling multiple competing priorities
Knowledge on how culture and team dynamics create 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 email@example.com or you may call us at +1 650-308-7837.