Senior Machine Learning Research Engineer - Speech

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.

• 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 Tensor Flow 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.