DBS·0188
Research Engineer, Machine Learning Systems
Summary
Deepgram is hiring a Research Engineer, Machine Learning Systems in USA | Remote. The role focuses on databases & storage, virtualization & containers, graphics, gpu & compute, low-latency & performance.
Responsibilities as stated
- Infrastructure & Tools: Oversee and manage training tooling, job orchestration, experiment tracking, and data storage.
- Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale.
- As a Member of the Research Staff, you will partner with research scientists to prototype and validate novel modeling ideas, then scale them through robust training systems for speech technologies, internal tooling, and innovative data strategies.
Location, employment, and compensation
- Location. USA | Remote, San Francisco, CA, Ann Arbor, MI — remote
- Employment. unknown
- Compensation. Not stated on the source. NearMetal does not estimate compensation.
- How to apply. On the company’s own posting. NearMetal does not accept applications.
Why this is filed as systems software
- Infrastructure & Tools: Oversee and manage training tooling, job orchestration, experiment tracking, and data storage.
- Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale.
- As a Member of the Research Staff, you will partner with research scientists to prototype and validate novel modeling ideas, then scale them through robust training systems for speech technologies, internal tooling, and innovative data strategies.
Source and corrections
This summary was written from the company’s own posting. NearMetal does not reproduce the full description and does not accept applications.