Deepgram Applied AI
Software Engineer - Applied AI (Senior or Staff Level)
- Location San Francisco, CA
- Compensation 197,000 – 246,000 USD / year
- Type FullTime
- Team Engineering
- Seniority senior
- Posted 2026-07-04
Original posting ↗ You apply on the company site — we never collect applications.
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role details
Develops and maintains voice AI systems for enterprise customers, focusing on ultra-robust ASR, model adaptation, and high-accuracy voice agents.
Summary generated by AI from the original posting.
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- Clearance：not mentioned in the posting
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Skills
FineTuningAgentsAISpeech-to-text (STT)Text-to-speech (TTS)Voice AISpeech recognitionMachine learningDeep learningCloud APIs
Excerpt from the original posting
Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. The opportunity We are seeking an engineer to join our Applied AI team dedicated to solving the toughest problems in voice AI for enterprise customers. We work directly with some of the largest companies deploying voice AI - from leading conversational AI and customer experience platforms to restaurant enterprises and technology partners - taking on the problems that don't have off-the-shelf answers. Much of the work is zero to one. Current focus areas include: - Ultra-robust ASR in noisy outdoor environments - Self-service fine-tuning and model adaptation for large enterprise customers - High-accuracy, domain-aware voice agents…
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