We are looking for a skilled Voice AI Engineer with a strong background in PyTorch and at least 2 years of experience in voice-related projects. The ideal candidate will have a passion for developing state-of-the-art voice recognition and synthesis models, as well as a solid understanding of machine learning techniques.
Responsibilities:
Design, develop, and optimize voice recognition and speech synthesis models using PyTorch.
Collaborate with cross-functional teams to integrate voice AI technologies into our products and services.
Conduct research to explore new methods and algorithms for improving voice AI performance.
Evaluate and fine-tune existing voice AI models to enhance accuracy and efficiency.
Stay up-to-date with the latest advancements in voice AI research and technology.
Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Minimum of 2 years of experience in developing voice-related projects using PyTorch.
Solid understanding of deep learning techniques and frameworks, particularly PyTorch.
Experience with voice recognition, natural language processing, and speech synthesis technologies.
Proficiency in Python programming and familiarity with relevant libraries and tools.
Strong problem-solving skills and ability to work in a fast-paced environment.
Excellent communication and collaboration skills.
Nice to Have:
Experience with other deep learning frameworks such as TensorFlow or Keras.
Knowledge of cloud computing platforms and technologies (e.g., AWS, Azure, GCP).
Familiarity with speech signal processing techniques and algorithms.
Contributions to open-source voice AI projects or research publications.
Benefits:
Competitive salary and performance-based bonuses.
Comprehensive health benefits package.
Flexible work hours and remote work options.
Opportunities for career growth and professional development.
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