As a Senior Machine Learning Research Engineer in Speech/Audio/Gen:AI, you will:
:Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing.
:Lead the development of robust and scalable software solutions for deployment on flagship mobile devices.
:Independently own and deliver significant components of complex research projects, from initial concept to production readiness.
:Design, implement, and maintain high:quality, well:documented code, adhering to best software development practices.
:Collaborate closely with a multi:disciplinary team of researchers and engineers, providing technical guidance and mentorship.
:Proactively identify and address technical challenges, proposing creative solutions and ensuring the successful delivery of projects.
:Contribute to the development of internal tools and infrastructure to support research and development efforts.
Skills and Qualifications
Required Skills
:MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, Mathematics, or a related discipline.
:Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus).
:Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics.
:Strong experience in audio/speech processing, including areas such as speech recognition, speech enhancement, audio analysis, text:to:speech synthesis, and natural language processing.
:Proficiency with machine learning frameworks such as TensorFlow or PyTorch.
:Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and agile development methodologies.
:Excellent communication, collaboration, and problem:solving skills.
:Demonstrated ability to translate research ideas into practical, production:ready solutions.
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