Staff/Principal Machine Learning Engineer - Speech
We are seeking Staff and Principal Machine Learning Speech Engineers with extensive experience in R&D of text-to-speech (TTS) and speech-to-text (STT) technologies. In this role, you will be at the forefront of building generative AI stack to power next-generation AI characters.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, or a similar technical field.
6+ years of experience with software development in one or more programming languages, machine learning algorithms and tools (e.g., PyTorch), artificial intelligence, deep learning and/or natural language processing.
Excellent problem solving skills and the ability to work independently and as part of a team.
Preferred Qualifications
Master's degree or PhD in speech synthesis/recognition or adjacent fields.
5+ years of experience with design and architecture, and testing/launching software products.
1+ years of experience in working with sourcing and curating speech datasets.
1+ years of experience in a technical leadership role leading project teams and setting technical direction.
1+ years of experience in building end-to-end speech processing systems and real-time applications.
Responsibilities
Research and experiment with cutting edge ML techniques for TTS and STT applications.
Develop and test production-grade training and inference pipelines for TTS and STT applications.
Understand optimization problems in the area of speech, signals, and natural language processing.
Collaborate with cross-functional teams to integrate speech technologies into products.
Remote location: Canada.
The Canada base salary range for this full-time position is CAD $200,000 - $300,000. In addition to base pay, total compensation includes bonus, equity and benefits. Within the range, individual pay is determined by work location and additional factors, including competencies and experience.
