Applied Audio ML Engineer Job at David AI in San Francisco

Join to apply for the Applied Audio ML Engineer role at David AI Join to apply for the Applied Audio ML Engineer role at David AI This range is provided by David AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $150,000.00/yr - $260,000.00/yr About Our Machine Learning Team Our Machine Learning team sits at the intersection of cutting-edge research and production systems, transforming raw audio into high-signal data for leading AI labs and enterprises. We own the full ML lifecycle - from researching novel speech processing algorithms to deploying models processing terabytes of audio daily. About This Role As an Applied ML Engineer at David AI you'll build cutting-edge speech and audio models, production inference systems and resilient pipelines that showcase what high-quality data can really do. In this role, you will Research, design, and implement solutions using advanced signal processing. algorithms and bleeding edge ML models with application to speech and audio. Develop production-grade inference algorithms, pipelines, and APIs with cross-functional teams that unlock key insights into our data for our customers. Collaborating with our Operations team to gather useful training and evaluation datasets to improve the quality of our models. Architect systems that enable resilient, durable inference and evaluations. Your background looks like 5+ years of professional audio ML experience, including DSP and ML audio algorithm development. End-to-end ownership of ML pipelines, from proof-of-concept to production deployment. Strong coding skills in Python and proficiency with deep learning frameworks such as PyTorch. Ability to translate research papers and ideas into high-quality, production-ready code. Experience deploying ML systems for production inference with cloud technologies. Track record of setting ML roadmaps, influencing technical direction, and prioritizing research and infrastructure investments. Ability to assess model quality in the context of user experience and business value. Bonus points if you have PhD or Masters in Computer Science or a related field. Experience training generative AI models. Expertise in audio signal processing both classical and machine learning techniques. Compensation And Benefits Rapid career growth at one of the fastest growing Series A companies, within a new and booming industry. Competitive salary and equity package. Flexible PTO policy. Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans. Paid lunch and dinner in the office, every day through DoorDash. 401k access. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at David AI by 2x Get notified about new Machine Learning Engineer jobs in San Francisco, CA . 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Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr In Summary: Applied Audio ML Engineer at David AI will build cutting-edge speech and audio models, production inference systems and resilient pipelines that showcase what high-quality data can really do . Your background looks like 5+ years of professional audio ML experience . Strong coding skills in Python and proficiency with deep learning frameworks such as PyTorch . En Español: Este rango es proporcionado por David AI. Su salario real se basará en sus habilidades y experiencia hablar con su reclutador para obtener más información. Rango de pago básico $ 150,000,00 / año - $ 260.000,00/ año Sobre nuestro equipo de aprendizaje automático Nuestro equipo de Machine Learning está situado en la intersección de sistemas de investigación y producción de vanguardia, transformando el audio crudo en datos de alta calidad para laboratorios y empresas líderes de IA. Somos propietarios del ciclo de vida completo de ML: desde investigar nuevos algoritmos de procesamiento hasta implementar modelos de tratamiento de voz a terabytes de audio diariamente. Sus antecedentes parecen 5+ años de experiencia profesional en audio ML, incluidos el desarrollo de DSP y algoritmos de audio ML. Propiedad completa de tuberías ML, desde la prueba de concepto hasta la implementación de producción. Fuertes habilidades de codificación en Python y dominio con marcos de aprendizaje profundo como PyTorch. Capacidad para traducir documentos e ideas de investigación a código de alta calidad listo para la producción. Experiencia en implementar sistemas ML para inferencias de producción con tecnologías cloud. Descripción del registro de establecer mapas de ruta de ML, influenciando la dirección técnica y priorizando las investigaciones e inversiones en infraestructura. Habilidad para evaluar la calidad del modelo en el contexto de la experiencia del usuario y valor empresarial. Puntos bonificados si tiene acceso al doctorado o una carrera generativa en Ciencias de la Computación o un campo relacionado. Experimentación de modelos profesionales. Nivel de antigüedad Nivel mediano-gran nivel Tipo de empleo Tipo de trabajo a tiempo completo Función de trabajo Función laboral Ingeniería y Tecnología de la Información Industria Desarrollo del software Referencias aumentan sus posibilidades de entrevistar en David AI por 2 veces Obtenga notificación sobre nuevos trabajos como ingeniero de aprendizaje automático en San Francisco, CA . 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