Machine Learning Engineer - Voice Cloning and Speech Synthesis

October 3

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Factored

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Machine Learning • Data Engineering • Data Analytics • Artificial Intelligence • Data Science

51 - 200

Description

• Factored was conceived in Palo Alto, California by Andrew Ng to address AI engineer shortage. • We are looking for an experienced Machine Learning Engineer with a strong background in text-to-speech (TTS) models and voice cloning technologies. • You will develop and optimize ML models aimed at improving user experience. • Collaborate closely with clients to ensure solutions are scalable, reliable, and operate in real time.

Requirements

• Strong proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch. • Proven expertise in speech synthesis models and text-to-speech technologies, with a focus on realistic, human-like outputs. • Experience with voice cloning and familiarity with models like StyleDiffusion or similar. • Ability to deliver real-time solutions with high-performance reliability in production environments. • Experience working with audio datasets, including data preprocessing, splitting, upsampling/downsampling, and file management. • Familiarity with multilingual models and working with transcriptions in multiple languages. • Proficient in cloud platforms like AWS and deploying machine learning models in a production environment. • Experience with Whisper or similar tools for handling audio datasets. • Knowledge of traditional ML techniques, including XGBoost or gradient boosting for model optimization.