**Summary:** We are seeking an experienced and highly skilled Audio ML Engineer to join our team. As an Audio ML Engineer, you will be responsible for designing, developing, and deploying machine learning models that enable audio-related applications such as audio-driven face animations and multi-modal face animations in 2D and 3D. You will work closely with our research and product teams to develop and implement state-of-the-art audio processing algorithms and machine learning models. **Required Skills:** Audio ML Engineer, Codec Avatars Responsibilities: 1. Design, develop, and deploy machine learning models for audio-related applications 2. Collaborate with research team to develop and implement state-of-the-art audio processing algorithms and machine learning models 3. Work with large datasets of audio recordings to train and test machine learning models 4. Develop and maintain software tools and libraries for audio processing and machine learning 5. Optimize machine learning models for deployment on various hardware platforms 6. Collaborate with cross-functional teams to integrate audio ML models into larger systems 7. Stay up-to-date with the latest developments in audio processing and machine learning 8. Mentor engineers and contribute to the growth of the team 9. Take ownership of complex projects and drive them to completion **Minimum Qualifications:** Minimum Qualifications: 10. Master's in Computer Science, Electrical Engineering, or related field 11. 3+ years of experience in machine learning and audio processing 12. Programming skills in languages such as Python and/or C++ 13. Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras 14. Knowledge of audio processing techniques such as Fourier analysis, filter design, and signal processing 15. Experience with audio datasets and annotation tools 16. Problem-solving skills and able to work independently 17. Communication and collaboration skills 18. Proven track record of delivering high-quality results in a fast-paced environment **Preferred Qualifications:** Preferred Qualifications: 19. Ph.D. in Computer Science, Electrical Engineering, or related field 20. 5+ years of experience in machine learning and audio processing 21. Experience with cloud-based machine learning platforms such as AWS SageMaker or Google Cloud AI Platform 22. Knowledge of containerization using Docker 23. Familiarity with agile development methodologies 24. Experience with version control systems such as Git 25. Knowledge of multiple programming languages 26. Experience with audio-related patents or publications **Industry:** Internet