Deepgram
As an Applied ML Engineer at Deepgram, you will own the research-to-production pipeline, transforming experimental models into reliable, scalable services. You will partner with research scientists to build robust workflows, optimize inference for production, and establish automated evaluation gates. This role requires bridging the gap between advanced AI research and systems engineering to ensure models perform efficiently at scale.
Headquarters
San Francisco, California, United States
Company Size
51-200 employees
Founded
2015
Deepgram is an enterprise-grade voice AI platform offering real-time, high-accuracy Speech-to-Text, Text-to-Speech, and Voice Agent APIs. Built for scale, it powers large workloads in contact centers, media, and analytics with low-latency transcription and generation capabilities. Developers can integrate quickly via robust APIs and SDKs, with customizable models and vocabularies tailored to industry needs. Deepgram emphasizes enterprise reliability, privacy, and deployment flexibility for mission-critical voice solutions.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Deepgram.
8% above the average for this role