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All Tech JobsThe whole board, newest first.Roles That Fit MeAnswer a few questions, see your matches.Early WindowFound before the big boards.Direct ApplyStraight to the manager, past the ATS.$210,000 - 360,000/ year
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Sign Up to ReadAbout the company
The company 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 the company comes in.
In less than a year, we’ve brought on most FAANG companies and AI labs as customers.
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 a Research Scientist at the company 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 cutting 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 large neural network models in academic or industry settings.
Expertise in audio signal processing both classical and machine learning techniques.
Experience in publishing in top conferences such as NeurIPS, ICML, ICLR, CVPR, etc.
From the office
No visa sponsorship
Company hidden
Office in San Francisco, United States
Likely still hiring, moderately crowded, and a person reads your message.
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