Develop and evaluate machine-learning algorithms, use behavioral and customer data to propose value, build prototype applications, collaborate with business teams, and publish research.
About this role
This Research Engineer Intern joins an R&D laboratory working on AI/ML technologies for speech and audio processing. The work supports applications across games, films, music, video analysis, robotics, and other products and services, with a focus on speech-based large language modeling, diarization, and speech synthesis.
The role investigates engineering and mathematical principles, develops core technologies and algorithmic structures, analyzes data, and evaluates methods for solving research problems. The posting names PyTorch and TensorFlow for neural-network modeling and optimization, and Python and modern C++ for rapid algorithm prototyping; Windows and Linux are also listed in the development environment.
Applicants must be pursuing or have completed an M.S. or Ph.D. in computer science, AI/ML, or a related field, and must have a research background in AI/ML, speech processing, or a related area. Strong neural-network modeling and analysis skills, plus the ability to formulate optimization workflows with a deep-learning framework, are required.
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