Research Scientist Intern, Audio, Machine Learning and Computer Vision

About This Role

Conduct groundbreaking research in audio signal processing, machine learning, and audio-visual learning to solve audio-driven problems for AR/VR applications. This role offers the opportunity to collaborate with a world-class team creating the future of virtual and augmented reality.

Responsibilities

• Research, model, design, develop and test novel audio and speech processing algorithms using machine learning, signal processing, and computer vision
• Collaborate with researchers and engineers across diverse disciplines
• Design and implementation of novel algorithms to solve audio research problems
• Perform experimental design, implementation, and execution to evaluate new audio technologies
• Communicate research agenda, progress, and results

Requirements

• Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Artificial Intelligence, Signal Processing, Machine learning, Computer vision, Electrical Engineering, Applied Math, Acoustics 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

Qualifications

• PhD degree in Computer Science, Artificial Intelligence, Signal Processing, Machine learning, Computer vision, Electrical Engineering, Applied Math, Acoustics 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

Nice to Have

• 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

Skills

* Required skills