Machine Learning Researcher
ElevenLabsFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The role requires 8+ years of hands-on experience in TTS system development, proficiency in C/C++ and Python with mastery of ML frameworks like PyTorch and TensorFlow, strong background in NLP or speech signal processing, experience with linguistic tools and phonetic knowledge, and familiarity with transformer-based models, acoustic models, neural vocoders, model optimization, speech codecs, production runtimes, and voice cloning systems.
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Cerence offers an exciting opportunity to join a passionate, dedicated, global team focused on meaningful innovation in voice and AI for the automotive industry, with a track record built on over 20 years of experience.
Strong candidates will have 8+ years in TTS development, deep technical expertise across the listed skills, plus preferred qualifications like publications in top conferences, experience at world-level TTS/AI companies, and proven leadership in delivering TTS solutions.
AI solutions for automotive in-car experiences
Cerence develops AI-powered solutions specifically for the automotive industry, focusing on improving the in-car experience for drivers and passengers. Their products include voice recognition systems and AI-driven assistants that enhance entertainment, connectivity, and safety while driving. Cerence collaborates with major automotive manufacturers to integrate these technologies into vehicles, such as the Mercedes Benz User Experience. Unlike many competitors, Cerence emphasizes a comprehensive approach that includes ongoing support and upgrades, ensuring their technology adapts to trends like smart cities and electric vehicles. The company's goal is to transform transportation and shape the future of mobility through innovative and user-friendly solutions.