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

Research team

Internship

Responsibilities

• Research, model, design, develop and test novel audio and speech-processing algorithms using machine learning, signal processing and computer vision.
• Design and implement algorithms for audio research problems; design and execute experiments to evaluate new audio technologies.
• Collaborate across research and engineering disciplines and communicate research plans, progress and results.

Minimum qualifications

• Currently have or be pursuing a PhD in Computer Science, AI, Signal Processing, Machine Learning, Computer Vision, Electrical Engineering, Applied Mathematics, Acoustics Engineering or a related STEM field.
• At least three years of experience with Python, MATLAB or a similar language, and three years with machine-learning platforms such as PyTorch or TensorFlow.
• At least two years building novel computational models in audio, audiovisual or speech applications using machine learning or signal processing; signal or speech processing experience is required.
• Must obtain and maintain work authorisation in the country of employment.

Preferred qualifications

• Software engineering experience through an internship, work, coding competitions or widely used open-source contributions.
• Strong statistical modeling and/or signal processing background; record of results such as papers accepted at leading computer vision or machine-learning conferences.
• Cross-functional teamwork and communication experience; intent to return to a degree programme after the internship or co-op.

Compensation information

• The posting says compensation may be expressed as a base hourly rate, monthly rate or annual salary, with individual compensation determined by skills, qualifications, experience and location; no specific amount or cadence for this role is provided.
• Benefits are offered in addition to base compensation.