David AI is hiring: Applied Audio ML Engineer in San Francisco
David AI, San Francisco, CA, United States
About David AI David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
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.
Benefits Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage for most plans.
FSA & HSA access.
401k access.
Meals 2x daily through DoorDash + snacks and beverages available at the office.
Unlimited company-sponsored Barry’s classes.
#J-18808-Ljbffr
In Summary: David AI was founded in 2024 by a team of former Scale AI engineers and operators . Our mission is to bring AI into the real world, and we believe audio is the gateway . We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital .
En Español: David AI es la primera empresa de investigación de datos de audio. Llevamos un enfoque de I+D para el desarrollo de conjuntos de datos con el mismo rigor que los laboratorios de IA llevan a los modelos. Nuestra misión es traer AI al mundo real, y creemos que el audio es la puerta de entrada. El habla es versátil, accesible y se adapta naturalmente a la vida cotidiana. A medida que surgen avances en la inteligencia artificial y nuevos casos de uso, los datos de capacitación de alta calidad son el cuello de botella. Aquí es donde entra David AI. David AI fue fundada en 2024 por un equipo de antiguos ingenieros e operadores de IA Scala. En menos de un año, hemos traído a la mayoría de las compañías FAANG y laboratorios AI como clientes. Recientemente recaudamos una serie B de $ 50 millones desde Meritech, NVIDIA, Jack Altman (Alt Capital Partners), Amplified, First Round Capital y otras empresas del Tier 1. Como ingeniero de ML aplicado en David AI construirás modelos de voz y audio de vanguardia, sistemas de inferencia de producción y tuberías resilientes que muestren lo que realmente pueden hacer los datos de alta calidad. En este papel, investigará, diseñará e implementará soluciones utilizando algoritmos avanzados de procesamiento de señales y modelos del borde de sangrado de ML con aplicación a la voz y el audio. Desarrollará algoritmos, inferencias e APIs de grado de producción con equipos interfuncionales que desbloquean información clave sobre nuestros datos para nuestros clientes. Colaborar con nuestro equipo de operaciones para reunir conjuntos de datos de acceso útiles y evaluación para mejorar la calidad de los modelos disponibles.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
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.
Benefits Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage for most plans.
FSA & HSA access.
401k access.
Meals 2x daily through DoorDash + snacks and beverages available at the office.
Unlimited company-sponsored Barry’s classes.
#J-18808-Ljbffr
In Summary: David AI was founded in 2024 by a team of former Scale AI engineers and operators . Our mission is to bring AI into the real world, and we believe audio is the gateway . We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital .
En Español: David AI es la primera empresa de investigación de datos de audio. Llevamos un enfoque de I+D para el desarrollo de conjuntos de datos con el mismo rigor que los laboratorios de IA llevan a los modelos. Nuestra misión es traer AI al mundo real, y creemos que el audio es la puerta de entrada. El habla es versátil, accesible y se adapta naturalmente a la vida cotidiana. A medida que surgen avances en la inteligencia artificial y nuevos casos de uso, los datos de capacitación de alta calidad son el cuello de botella. Aquí es donde entra David AI. David AI fue fundada en 2024 por un equipo de antiguos ingenieros e operadores de IA Scala. En menos de un año, hemos traído a la mayoría de las compañías FAANG y laboratorios AI como clientes. Recientemente recaudamos una serie B de $ 50 millones desde Meritech, NVIDIA, Jack Altman (Alt Capital Partners), Amplified, First Round Capital y otras empresas del Tier 1. Como ingeniero de ML aplicado en David AI construirás modelos de voz y audio de vanguardia, sistemas de inferencia de producción y tuberías resilientes que muestren lo que realmente pueden hacer los datos de alta calidad. En este papel, investigará, diseñará e implementará soluciones utilizando algoritmos avanzados de procesamiento de señales y modelos del borde de sangrado de ML con aplicación a la voz y el audio. Desarrollará algoritmos, inferencias e APIs de grado de producción con equipos interfuncionales que desbloquean información clave sobre nuestros datos para nuestros clientes. Colaborar con nuestro equipo de operaciones para reunir conjuntos de datos de acceso útiles y evaluación para mejorar la calidad de los modelos disponibles.