Facebook Research Intern, Audio Machine Learning and Signal Processing (PhD) in Indianapolis, Indiana
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.
The Facebook Reality Labs (FRL) Research Team brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives. In particular, the FRL Research audio team is focused on two goals; creating virtual sounds that are perceptually indistinguishable from reality, and redefining human hearing. See more about our work here: (https://tech.fb.com/inside-facebook-reality-labs-research-the-future-of-audio/) These two initiatives will allow us to connect people by allowing them to feel together despite being physically apart, and allow them to converse in even the most difficult listening environments. FRL Research Redmond is looking for experienced interns who are passionate about ground breaking research in audio signal processing and machine learning to solve important audio-related problems for AR/VR applications. We currently have multiple open positions for a range of projects in multimodal representation learning, audio visual scene analysis, speech enhancement and acoustic activity localization. Strong math skills are a huge plus. We want to build a broad virtual reality research community, so we encourage publishing. Come join us as we make AR and VR happen!
Research, model, design, develop and test novel audio-visual/speech algorithms using machine learning, signal processing, and computer vision
Collaborate with researches and engineers across diverse disciplines
Communication of research agenda, progress and results
Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Artificial Intelligence, Electrical Engineering, Applied Math, Acoustics Engineering or a related STEM field
1+ years experience with Matlab, Python, or similar
1+ years experience building novel learning and estimation models in audio or speech or audio-visual application domains
Interpersonal skills: cross-group and cross-culture collaboration
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Intent to return to degree-program after the completion of the internship/co-op
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github)
Strong background in statistical modeling techniques and signal processing
Experience with machine learning software platforms such as PyTorch, TensorFlow, etc.
Proven track record of achieving results as demonstrated in accepted papers at top computer vision and machine learning related conferences such as CVPR, ECCV, NIPS, ICASSP, InterSpeech etc.
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 email@example.com.
- Facebook Jobs