"audio signal processing" Jobs
27 open tech roles matching “audio signal processing”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, BigQuery. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 27 results
Join Protege as a Machine Learning Researcher to lead the evaluation and optimization of audio data quality for AI training.
Join Neuralink as a Digital IC Design Engineer to innovate in brain-computer interface technology with a talented team.
Lead the development of models and algorithms for Decagon's real-time voice agents in a collaborative, onsite environment.
Join AssemblyAI as a Senior GTM Engineer to build systems that enhance customer acquisition and growth in a fast-paced AI environment.
Join Cantina as a Machine Learning Engineer to build advanced speech systems and contribute to innovative AI technology.
Own and scale strategic signal and data partnerships to enhance conversion signal quality at Reddit.
Design and implement AV systems for a cutting-edge AI research organization to enhance collaboration across global offices.
Design and implement AV systems for a cutting-edge AI research organization, enhancing collaboration across EMEA offices.
Drive growth for ElevenLabs as an Enterprise Account Executive, focusing on CAC40 and large enterprises in France and Benelux.
Own the hard systems at the center of Wispr's product surface, focusing on quality and user experience.
Join Reddit as a Senior ML Engineer to develop advanced embedding models for advertising in a fully remote role.
Join Reddit as a Senior ML Engineer to develop advanced embedding models for advertising in a fully remote role.
Join Reddit as a Senior iOS Engineer to architect high-performance media experiences for millions of users.
Join Fireworks AI as an Applied Machine Learning Engineer to bridge AI research and real-world applications in a collaborative environment.
Lead the customer support function at Suno, building a world-class team and driving data-driven improvements in user experience.