E learning Jobs in Canada
Last updated: 6 days ago
Machine Learning Engineer II
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MozillaToronto, CAMachine Learning Engineer
Jay AnalytixCanada30+ days ago
Job descriptionBachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field with a focus on speech processing or machine learning. Proven experience in developing and deploying ASR and TTS systems. Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, or similar. Proficiency in Python programming languages. Experience with signal processing, feature extraction, and speech recognition techniques. Familiarity with deep learning architectures, including RNN, CNN, Transformer models, etc. Ability to work effectively in a collaborative and fast-paced environment. Excellent problem-solving skills and attention to detail. Strong written and verbal communication skills. Experience with large-scale speech data collection and annotation. Knowledge of cloud-based services and tools for ASR and TTS deployment. Publications or contributions to the speech processing research community. Experience with end-to-end speech processing pipelines and real-time processing systems.
Job Summary
We are seeking a highly skilled and motivated ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) Engineer to join our innovative team. The successful candidate will be responsible for developing, optimizing, and deploying state-of-the-art ASR and TTS systems, contributing to our cutting-edge speech technology solutions. This role requires a deep understanding of speech processing, machine learning, and software development.
Responsibility
- Design, develop, and optimize ASR and TTS models and algorithms.
- Implement and improve speech recognition and synthesis systems using deep learning frameworks.
- Collaborate with cross-functional teams to integrate ASR and TTS solutions into various applications and platforms.
- Conduct research and stay updated on the latest advancements in speech-processing technologies.
- Evaluate and benchmark the performance of ASR and TTS systems, ensuring high accuracy and efficiency.
- Troubleshoot and resolve issues related to speech processing systems and improve their robustness.
- Maintain and enhance existing speech processing models and pipelines.
- Contribute to the development of documentation, guidelines, and best practices for ASR and TTS systems.
Requirements
Nice-to-Haves
Benefits : Will be Discussed further.