Senior Machine Learning Research Engineer
David AIAudio Data company
San Francisco, United StatesSenior
Amplify Partners
First Round Capital
Y Combinator
BoxGroup
Alt Capital
Meritech
Data & AI
About the role
TL;DR
Build cutting-edge speech and audio models and production inference systems.
- •As a ML Research Engineer at David AI, you'll build cutting-edge speech and audio models, production inference systems, and resilient pipelines.
- •Key Responsibilities Research, design, and implement solutions using advanced signal processing algorithms and cutting-edge ML models.
- •Develop production-grade inference algorithms, pipelines, and APIs with cross-functional teams.
- •Collaborate with the Operations team to gather useful training and evaluation datasets.
- •Architect systems that enable resilient, durable inference and evaluations.
- •Requirements 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.
Required skills
PythonPyTorchMLflowKubeflowAWSGoogle CloudCI/CDDockerKubernetes
Domain expertise
ai
Benefits & perks
Unlimited PTO, Top-notch health, dental, and vision coverage, FSA & HSA access, 401k access, Meals 2x daily through DoorDash, Unlimited company-sponsored Barry's classes
Tech stack
PythonPyTorchMLflowKubeflowAWSGoogle CloudCI/CDDockerKubernetes
