Research Staff, Data Science

The Opportunity Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. 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. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone. The Role Deepgram is currently looking for seasoned Data Scientists with demonstrated experience solving hard data problems while exploring research frontiers to join our Research Staff. Conversational audio presents incredibly rich scientific, engineering, and infrastructure challenges that are orders of magnitude harder than working with text. As a Member of the Research Staff, you will help us to build an industrial "data factory" that will be used to power the next generation of Voice AI systems - unlocking the creation of models that go beyond basic transcription and comprehension, capturing nuanced meanings in complex conversations, adapting robustly to diverse speech patterns, and generating empathic responses with human-like, contextualized speech. You will collaborate closely with our product, engineering, and data teams to build and deploy models in the most scalable voice API on the planet. We look forward to you bringing your expertise, sharing insights from your latest experiments, and collaborating with us to push the boundaries of AI and voice technology. The Challenge We are seeking Research Staff who: See "unsolved" problems as opportunities to pioneer entirely new approaches Can identify the one critical experiment that will validate or kill an idea in days, not months Have the vision to scale successful proofs-of-concept 100x Are obsessed with using AI to automate and amplify your own impact If you find yourself energized rather than daunted by these expectationsif you're already thinking about five ideas to try while reading thisyou might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative. What You'll Do Drive high performance data acquisition, preparation and synthesis pipelines to generate data for the next generation of speech and language AI foundation models Develop advanced characterizations of complex conversational audio utilizing a diverse toolkit of signals processing techniques and deep learning models Collaborate with DataOps and Engineering to create automated systems which scale the ability of human annotators to label high value data and provide critical feedback on model outputs Build advanced benchmarking methodologies and curated datasets for evaluating conversational voice systems Document and present results of data experiments and analysis for internal and external audiences You'll Love This Role If You Are obsessed with making sense out of complex and/or messy data Enjoy building from the ground up and love to create new systems from scratch Are passionate about AI and interested in leveraging data to solve hard problems Are motivated by the prospect of scaling yourself using automation and AI models It's Important to Us That You Have Experience building data processing pipelines from a blank page and owning the entire data stack including data acquisition, characterization, cleaning, serving and transformation Experience and expertise applying statistical methods and deep learning models to understand complex data Strong communication skills and the ability to translate complex concepts in simple terms, depending on the target audience Strong software engineering skills with particular emphasis on developing clean, modular code in Python and working with Pytorch Nice to Haves Background in Physics, Mechanical Engineering or Language Processing Experience building models Speech and audio experience Benefits & PerksHolistic health Medical, dental, vision benefits Annual wellness stipend Mental health support Life, STD, LTD Income Insurance Plans Work/life blend 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 Continuous learning Learning / Education stipend Participation in talks and conferences Employee Resource Groups AI enablement workshops / sessions For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.

Created: 2026-03-16