Supervised neural networks form a primary substrate of what we do at NNAISENSE, both in direct pattern recognition applications, and as the perceptual front-end for intelligent automation. We are looking to expand our deep learning team to advance the state of the art and contribute to our ongoing commercial engagements in manufacturing, finance, and mobile.
Description
- Perform scientific research of the highest standards
- Design large-scale neural network solutions to solve challenging industrial problems
- Contribute to extending the company code-base
- Occasionally, contribute to selected high-profile client projects
Minimum Qualifications
- 3+ years of experience in conducting cutting-edge research in deep learning
- PhD in Computer Science (ML/AI), Physics, or Mathematics
- Publications in top journals and conferences (e.g. NeurIPS, ICML, TPAMI, CVPR)
- Experience with neural networks and the most common frameworks such as Tensorflow, PyTorch, and MXNET
- Expert in Bayesian and Variational Bayesian inference
- Driven to learn in a vibrant and stimulating environment
- Fluent in written and spoken English
Pluses
- Familiar with problems in computer vision
- Understanding of low-level GPU coding paradigms
- Experience with large-scale data driven projects
- Broad understanding of machine learning and AI
Contact
E-mail: jobs@nnaisense.com
Submit both your cover letter and resume in English, PDF format
