Research Engineer, Machine Learning Systems

📋 Description

• • Deepgram is at the forefront of the burgeoning trillion-dollar Voice AI economy, providing essential real-time APIs for speech-to-text (STT) and text-to-speech (TTS), enabling the creation of production-grade voice agents at an unprecedented scale.
• • Join a dynamic team that powers over 200,000 developers and more than 1,300 organizations, including industry leaders like Twilio, Cloudflare, and Jack in the Box, with voice solutions that are ‘Powered by Deepgram’.
• • Our foundation models, accessible via cloud APIs or self-hosted/on-premises software, are renowned for their unmatched accuracy, minimal latency, and exceptional cost efficiency.
• • Backed by a significant Series C funding round from top global investors, Deepgram has a proven track record, having processed over 50,000 years of audio and transcribed more than 1 trillion words, solidifying our position as the world's foremost authority on voice technology.
• • At Deepgram, we embrace an AI-first operating rhythm, where the active use and experimentation with advanced AI tools are not just encouraged but are fundamental to our innovation, performance measurement, and daily operations.
• • Every team member is expected to leverage and integrate cutting-edge AI tools into their workflows, with performance evaluated on the effective application of AI to achieve results.
• • We thrive in a rapidly evolving environment, mirroring the pace of AI advancements, which means daily work can change quickly. This role is ideal for individuals excited by continuous experimentation, adaptation, rapid learning, and who are not seeking a rigidly defined, traditional work structure.
• • The opportunity lies in addressing the fundamental data challenges within audio AI, where current sequence modeling paradigms struggle with the scarcity, diversity, and high dimensionality of real-world audio data, leading to prohibitive computational and storage costs.
• • We believe that pioneering entirely new paradigms for audio AI is crucial to overcome these challenges and democratize voice interaction for everyone globally.
• • As a highly skilled and versatile Machine Learning Engineer on our Research team, you will collaborate closely with research scientists to prototype and validate innovative modeling concepts.
• • You will be instrumental in scaling these novel ideas through robust training systems designed for cutting-edge speech technologies, internal development tooling, and sophisticated data strategies.
• • This role operates at the critical intersection of machine learning, data infrastructure, and internal tooling, directly supporting our mission to develop world-class speech recognition and synthesis systems.
• • You will have the opportunity to experiment with emerging technologies and techniques while simultaneously contributing to product-focused deliverables, learning from a diverse group of AI and machine learning experts.
• • Key responsibilities include architecting and managing horizontally scalable systems that significantly accelerate the end-to-end training lifecycle for both Speech-to-Text (STT) and Text-to-Speech (TTS) models.
• • This extends beyond mere automation to optimizing the entire model development process through enhanced data preparation, high-throughput training pipelines, distributed infrastructure, and automated evaluation tools.
• • You will design and implement intuitive internal UIs and tools to democratize access to complex ML systems and workflows for non-technical stakeholders across the company, ensuring transparency and flexibility.
• • Furthermore, you will oversee and manage critical training infrastructure, including job orchestration, experiment tracking, and data storage solutions.
• • We are looking for individuals who view "unsolved" problems as fertile ground for pioneering new approaches and possess the ability to identify the single, most impactful experiment to validate or invalidate an idea swiftly.
• • The role demands the vision to scale successful proofs-of-concept exponentially and a deep-seated obsession with leveraging AI to amplify personal and team impact.
• • If you are energized by complex challenges, possess a creative mindset, and are driven by the pursuit of elegant, scalable solutions, this role offers immense technical challenges and transformative potential.
• • You will be part of a research culture that champions ownership, continuous experimentation, and tangible real-world impact, empowering you to build tools and systems that accelerate ML research and large-scale product deployment.