Applied Audio ML Engineer

We transform audio into intelligence — building proprietary data and cutting-edge audio analytics to fuel the next generation of AI.

Location: San Francisco, CA
Company size: 10–50
Posted: 1w ago
Via: Yc

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Applied Audio ML Engineer · David AI

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Job title: Applied Audio ML Engineer
Job location: San Francisco, CA, US
Job listing URL: https://www.ycombinator.com/companies/david-ai/jobs/CQAxl3a-applied-audio-ml-engineer
Job description: ### **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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