Build speech and audio intelligence systems as an AI Engineer, using audio preprocessing and machine learning to understand human sound. Work with raw datasets and model evaluation. FGF Brands seeks a motivated, detail-oriented AI Engineer for its growing Audio Intelligence team. You will bridge creative audio engineering and deep learning while supporting voice-activated technology. The work includes audio datasets, automatic speech recognition, audio classification, and performance metrics. Key Responsibilities:
Clean, segment, and format audio datasets for training Apply noise reduction and volume normalization techniques Inspect sound events using spectral editing software Support fine-tuning ASR and audio classification models Track Word Error Rate and document model failures Requirements:
Bachelor's degree in a related technical field Understanding of sampling rates, bit depth, and channels Familiarity with SpectraLayers, Audacity, scipy.signal, and pydub Strong programming skills and familiarity with Git Experience in a fast-paced, high-growth environment preferred Apply your audio engineering, programming, and machine learning foundations to speech systems at FGF Brands.
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Speech and Audio Machine Learning Engineer in Toronto employer: FGF Brands
Cerebro Technologies is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the tech industry. With a strong focus on employee growth through leadership training and a commitment to leveraging cutting-edge AI technologies, team members are empowered to unleash their potential while enjoying competitive compensation and comprehensive benefits. Located in a fast-paced startup environment, employees thrive on collaboration and creativity, driving the future of manufacturing operations with meaningful contributions.
