Principal Research Scientist - Speech & Audio

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

MERL's Speech & Audio Group is seeking an exceptional researcher in the area of artificial intelligence, with particular focus on and interest in audio, speech, and/or language processing. We are looking for candidates with a strong background and experience in deep learning and other advanced machine learning techniques.

Our research focuses on cutting-edge projects for robust acquisition, recognition, and understanding of speech and audio, such as end-to-end speech recognition, speech and sound separation, deep-learning-based microphone array processing, general sound scene understanding, audio-visually grounded NLP, and other forms of multi-modal processing.

As a member of our group, you will conduct original research aiming to advance the state-of-the-art in the field, proposing new projects with long-term research goals and taking on a leadership role on some of the group's projects.

MERL is one of the most academically-oriented industrial research labs in the world, and the ideal environment to thrive as a leader in the speech and audio field. MERL strongly supports and encourages publishing and presenting research results in top international conferences and peer-reviewed journals, collaborating with university professors and students, and maintaining an influential presence in the academic community, for example by participating in technical committees or organizing workshops and challenges.

Qualifications:

• A Ph.D. from an internationally recognized institution in electrical engineering, applied mathematics, computer science or equivalent.
• Thorough knowledge and expertise in modern speech technologies as well as relevant machine learning and optimization techniques.
• Strong publication record demonstrating innovative research achievements.
• Excellent programming skills, particularly in Python and deep learning toolkits.
• Strong teamwork, communication, listening, writing, and presentation skills.

Research Area: Speech & Audio

Contact: Jonathan Le Roux