Lead full-stack development of scalable audio data platforms, building features and mentoring engineers in a fast-paced AI startup. Requires 6+ years of product-focused full-stack experience and technical leadership.
Build full-stack tools and scalable data pipelines for audio AI research. Work closely with researchers to iterate on data collection and processing interfaces.
Leads full-stack development of audio data products, building scalable systems for processing terabytes of data, deploying LLM/DSP solutions, and mentoring engineers. Requires 6+ years full-stack experience with strong web fundamentals and technical leadership.
Builds full-stack features, scalable data processing pipelines, and LLM/DSP solutions for audio data tools used by AI researchers. Requires 2+ years full-stack experience in high-paced environments, with excitement for AI/ML.
Lead full-stack development of scalable audio data platforms, building features and mentoring engineers in a fast-paced AI startup. Requires 6+ years of product-focused full-stack experience and technical leadership.
Build full-stack tools and scalable data pipelines for audio AI research. Work closely with researchers to iterate on data collection and processing interfaces.
Leads full-stack development of audio data products, building scalable systems for processing terabytes of data, deploying LLM/DSP solutions, and mentoring engineers. Requires 6+ years full-stack experience with strong web fundamentals and technical leadership.
Builds full-stack features, scalable data processing pipelines, and LLM/DSP solutions for audio data tools used by AI researchers. Requires 2+ years full-stack experience in high-paced environments, with excitement for AI/ML.