Research Scientist Intern, Audio, Machine Learning and Computer Vision (PhD)

Meta; Cambridge; Presencial; GBP 21 000 - 30 000; Tempo integral

Resumo da oferta

Meta Reality Labs Research invites experienced interns to tackle ground breaking audio signal processing, machine learning and audio-visual learning for AR/VR. Opportunities span multimodal representation learning, scene analysis and egocentric audio-visual learning across 12 to 24 weeks with multiple start dates yearly.

Applicants should be pursuing a PhD in a related STEM field, have strong Python/ML experience, and be capable of collaborating across teams while maintaining work authorization.

Qualificações

• PhD-level candidate in Computer Science or related STEM field, in progress or completed.
• 3+ years experience with Python, Matlab, or similar.
• 3+ years experience with ML platforms such as PyTorch, TensorFlow.
• 2+ years experience building novel models in audio, audio-visual, or speech domains.
• Ability to obtain work authorization in the country of employment.
• Demonstrated software engineering experience via internship or open source contributions.
• Strong background in statistical modeling and/or signal processing.
• Record of results in top CV/ML conferences (e.g., CVPR, ECCV, NIPS, ICASSP).
• Experience working cross-functionally and intent to return to degree-program after internship.

Conhecimentos

Python

Matlab

PyTorch

TensorFlow

Machine Learning

Signal Processing

Statistical Modeling

Formação académica

PhD in Computer Science or related STEM field

Descrição da oferta de emprego

The Meta Reality Labs 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, VR and MR 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, VR and MR that are so compelling that they become an integral part of our lives.

In particular, the Meta Reality Labs 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.facebook.com/reality-labs. 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.

Meta Reality Labs Research is looking for experienced interns who are passionate about ground breaking research in audio signal processing, machine learning and audio visual learning to solve important audio-driven problems for AR/VR applications. We currently have open positions for a range of projects in multimodal representation learning, audio visual scene analysis, egocentric audio visual learning, multi-sensory speech enhancement and acoustic activity localization.

Internship Details

Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.

Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Artificial Intelligence, Signal Processing, Machine Learning, Computer Vision, Electrical Engineering, Applied Math, Acoustics Engineering, Biomedical Engineering, or a related STEM field 3+ years experience with Python, Matlab, or similar 3+ years experience with machine learning software platforms such as PyTorch, TensorFlow, etc 2+ years experience building novel computational models in audio or audio-visual or speech application domains using machine learning or signal processing Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment 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/or signal processing 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 Experience working and communicating cross functionally in a team environment Intent to return to a degree-program after the completion of the internship/co-op