Deep learning engineer - home office

DS provides revolutionary solutions to business problems using computer vision, machine learning, and artificial intelligence. We take novel approaches to identifying and eliminating corporate inefficiencies. Through workflow and data analysis to the algorithm development, Deeper Systems implements technological innovations to all business aspects.

The aim of the role is to squeeze out every stage of deep learning codes’ performance through applying both theoretical creativity and technical intuition. You will be contributing to the disruption of the traditional solutions by developing algorithms.

Basic requirements:
- strong Python skills whilst working with TensorFlow and Keras;
- both practical and theoretical knowledge about machine learning and neural networks;
- experience with image processing and convolutional networks.

Ways to stand out from the crowd:
- experience with PyTorch;
knowledge of GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP);
- knowledge of compiler internals from front end to run-time environment;
- hands-on experience with big data;
- familiarity with big data techniques like Hadoop, Spark, Cassandra;
- great communication and organizational skills.