Full Time Senior Deep Learning Research Scientist at Deepgram (United States)
Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates.
Senior Deep Learning Research Scientist
Deepgram United States
Date Posted : 31 Oct, 2022
Work Location : San Francisco, United States
Salary Offered : Not Specified
Job Type : Full Time
Experience Required : 3+ years
Remote Work : Yes
Stock Options : No
Vacancies : 1 available
At Deepgram, we spend every day tackling big, real-world challenges in speech. We strongly believe that speech is the next frontier of interface and know that the speech technologies of 30 years ago won’t be tomorrow’s game-changers.
That’s where Deepgram’s Deep Learning Research Scientists come in. Our customers hire us to solve their hardest problems in speech, taking real, complex audio and transforming it into novel insights.
These challenges provide opportunities for creativity and innovative problem-solving every day.
Deepgram is looking for a Senior Deep Learning Research Scientist to tackle some of the most exciting and difficult problems at the forefront of ASR and NLU technologies.
In this role, you will become a leading expert in our model training techniques and a valued resource for the team on issues related to model creation and refinement.
You will design, train, and deploy state-of-the-art ASR models on the latest GPU hardware, as well as explore new learning techniques, data analytics methods, and software architectures to improve Deepgram’s product.
You will also lead the identification and investigation of opportunities to improve our existing solutions as well as developing new capabilities, including research on the design and deployment of CNNs and RNNs, the development of new ASR and NLU training algorithms, and more.
Your Impact :
- Understand the latest advances in deep learning and speech analytics, with a particular eye towards their implications and applications within our products.
- Develop new, or mature existing, models for speech analytics.
- Analyze new datasets for untapped potential.
- Deploy new models to production.
- Configure systems (software, hardware, network, etc.) for optimal machine learning performance.
- Develop state-of-the-art tools for correcting, improving, and enhancing ASR performance and NLU features using a variety of deep learning techniques.
- Remain steadfastly results-driven in the face of ambiguous problems and uncertain outcomes.
Experience Required :
- 5+ years of experience in deep learning research, with a solid understanding of the applications and implications of different neural network types, architectures, and loss mechanisms.
- Experience working with speech data in the context of research or industry intelligence systems.
- Familiarity with one or more of the popular deep learning frameworks : PyTorch, TensorFlow, Keras, etc.
- Competence with Python, and preferably knowledge of C, C++, and / or Rust.
- Familiarity navigating UNIX-style systems.
- Comfort with communicating and brainstorming in groups, and with leading new research initiatives.
- Understanding of traditional machine learning algorithms and how to use them effectively in practice.
About DeepgramBuilding foundational AI for speech transcription and understanding.
Company Size : 51 - 250 People
Year Founded : 2015
Country : United States
Company Status : Actively Hiring
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