Research Scientist - Voice AI Foundations
DeepgramFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need a Ph.D. in Computer Vision, Machine Learning, Robotics, or related field (or equivalent), expert proficiency in Python and PyTorch (or JAX), strong software engineering skills with distributed training experience, proven experience in generative or predictive world models, and collaborative team experience with strong communication skills.
This information is not specified in the job description.
This information is not specified in the job description.
The role involves working collaboratively within a close-knit team of researchers and engineers, mentoring junior scientists and interns, and fostering a culture of scientific rigor and rapid experimentation.
A strong candidate has a Ph.D. or equivalent in a relevant field, expert Python/PyTorch skills, experience with generative world models, and a track record of collaborative research; bonus for productionizing research and top-tier publications in areas like NeRF, diffusion, or video prediction.
Develops self-driving technology for trucking
Waabi focuses on developing self-driving technology specifically for the trucking industry. Their main product, the Waabi Driver, is designed to learn from experiences, adapt to new situations, and work with various hardware setups. This technology aims for large-scale use and is intended for integration into vehicles by original equipment manufacturers (OEMs). A key feature that sets Waabi apart from competitors is its use of Waabi World, an advanced simulation environment that allows for efficient development of their self-driving systems. This reduces the need for extensive real-world testing, which can be costly and time-consuming, while also improving safety and adaptability. Waabi's goal is to transform the trucking industry by providing technology that lowers operational costs and enhances safety for commercial vehicles. They aim to license their technology to trucking companies and OEMs, making it easier for these businesses to adopt self-driving solutions.