Research Engineer, (Machine Learning)

Acceler8 talent is actively seeking a Research Engineer in Machine Learning with experience in deep learning from both theoretical and practical perspectives to join a well funded Neuromorphic Computing startup working on developing the most brain-like hardware on the planet in the Bay Area.Based in Bay Area, but open to remote anywhere in the US.As a Research Engineer you will be the leading force of the development and benchmarking neural network training methods in PyTorch for novel analog hardware on various modalities.

You will work side by side with our software and R& D teams to solve multidisciplinary problems that arise with creating the most human-like hardware on the planet.Requirements:PhD degree in computer science or equivalent experienceExtended knowledge in modern deep learning architecturesSuperb coding skills with cloud GPU-accelerated PyTorch or other modern machine learning librariesGreat written and verbal communication skillsPublication record in top journalsIf of interest please apply here or feel free to reach out to me at jwhitcombacceler8talent.com

Related Post

Sr. Software EngineerSr. Software Engineer

Splunk ’s Cloud Infrastructure organization builds robust and resilient auto-scaling platform solutions for hosting Splunk ‘s enterprise software . The teams are fast-paced, high-velocity, and use state-of-the-art technology. The focus