Applied Audio ML Engineer Job at David AI Labs, Inc. in San Francisco

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.

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In Summary: Applied ML Engineer 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, including DSP and ML audio algorithm development. Strong coding skills in Python and proficiency with deep learning frameworks such as PyTorch.

En Español: Nuestro equipo de aprendizaje automático se encuentra en la intersección de sistemas de investigación y producción de vanguardia, transformando el audio crudo en datos de alta señal para los principales laboratorios y empresas de IA. Somos propietarios del ciclo de vida completo de ML - desde investigar nuevos algoritmos de procesamiento de voz hasta implementar modelos que procesan terabytes de audio diariamente. Desarrollar algoritmos de inferencia, tuberías y APIs con equipos interfuncionales que desbloquean conocimientos clave en nuestros datos para nuestros clientes. Colaborar con nuestro equipo Operations para recopilar conjuntos de datos útiles de capacitación y evaluación para mejorar la calidad de nuestros modelos. Sistemas arquitectónicos que permiten inferencias y evaluaciones resilientes y duraderas. Su experiencia parece ser más de 5 años de experiencia profesional en audio ML, incluidos el desarrollo de DSP y algoritmo de audio ML. Propiedad de extremo a extremo de las tuberías ML, desde prueba de concepto hasta implementación de producción. Fuertes habilidades de codificación en Python y destrezas técnicas con marcos de aprendizaje profundo como PyTorch. La capacidad de traducir documentos e ideas de investigación a una alta calidad, crecimiento dental-productivo. Experiencia avanzada para los sistemas de generación rápida de información sobre código de usuario con un marco técnico de trabajo, incluyendo maestría en ciencias informáticas y tecnología de procesamiento automático.