Research Engineer for Audio Processing and Machine Learning

Key Skills

Data Analysis, Data cleaning / Data cleansing, Design, Keras software library, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

The Music Technology team at Sony Research is looking for full-time Research Engineers with passion for Machine Learning, Audio Signal Processing, Intelligent Music Production, and Deep Generative Modeling.

Our mission is to research and develop technologies for various Sony Group products and for scientific publication. You will join a group of international researchers and developers working on state-of-the-art solutions for tasks related to AI and music, as the technologies developed by our group are used in entertainment studios around the world.

This position is based in Tokyo, the workplace language is English, and our team is composed of members from a variety of countries.

Responsibilities

As a Research Engineer, you will investigate and apply novel deep generative algorithms that combine music signal processing and machine learning techniques in areas such as music generation, music inpainting, and automatic sonification.

You are expected to implement and optimize these algorithms by applying your research, coding, and problem-solving skills. You will be supported in your efforts by having access to state-of-the-art resources at Sony and a unique and extensive catalog of music data.

Based in Tokyo, you will also have the opportunity to collaborate with other Sony research teams and Sony Business Groups such as Sony Music, Sony Pictures, and Sony Interactive Entertainment.

Required Qualifications

• Ph.D. degree in CS, EE, applied mathematics, or related fields.
• Record of relevant scientific publications.
• Proven knowledge of deep generative models.
• Expertise in audio signal analysis, processing, and feature extraction.
• Experience cleaning, manipulating, and analyzing audio data.
• Proven coding expertise with Python.
• Experience with machine learning tools (PyTorch, TensorFlow, Keras).

Preferred qualifications

• Proven industry experience.
• Knowledge in music composition/theory.
• Interest in music/audio production.