Research Engineer – Machine Learning Systems

🕒 March 14

🏄 California, Michigan – Remote

🏄 California – Remote 🚗 Michigan – Remote

💵 $150k - $250k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📚 Research Engineer

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Deepgram

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

☁️ SaaS

🔌 API

💰 $47M Series B on 2022-11

Artificial Intelligence • SaaS • API

Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.

📋 Description

• Architect and manage horizontally scalable systems that dramatically accelerate the end-to-end training lifecycle for Speech-to-Text (STT) and Text-to-Speech (TTS) models. • Design and implement internal UIs and tools that make ML systems and workflows accessible to non-technical stakeholders across the company. • Oversee and manage training tooling, job orchestration, experiment tracking, and data storage.

🎯 Requirements

• Strong experience with the machine learning research pipeline, particularly in STT or related speech domains. This includes experimenting with and evaluating new architectures and modeling approaches, and implementing large-scale training systems. • Proficiency with orchestration and infrastructure tools like Kubernetes, Docker, and Prefect. • Familiarity with ML lifecycle tools such as MLflow. • Experience building internal tools or dashboards for non-technical users. • Hands-on experience with data engineering practices for unstructured audio and text data. • Comfortable working in cross-functional teams that include researchers, engineers, and product stakeholders.

🏖️ Benefits

• Medical, dental, vision benefits • Annual wellness stipend • Mental health support • Life, STD, LTD Income Insurance Plans • Unlimited PTO • Generous paid parental leave • Flexible schedule • 12 Paid US company holidays • Quarterly personal productivity stipend • One-time stipend for home office upgrades • 401(k) plan with company match • Tax Savings Programs • Learning / Education stipend • Participation in talks and conferences • Employee Resource Groups • AI enablement workshops / sessions