Deepgram - Research Staff, Data Science
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Requirements
• 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 • Background in Physics, Mechanical Engineering or Language Processing
Responsibilities
• 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
Benefits
• HOLISTIC HEALTH • 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. • Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!
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