Deep Learning R&D Engineer Job Description Template
Our company is looking for a Deep Learning R&D Engineer to join our team.
Responsibilities:
- Analyze point cloud and radar raw sensor data and apply machine learning technologies;
- Design, build and maintain large-scale production machine/deep learning pipelines;
- Develop tools to generate and manage big training datasets for different Deep Learning models;
- Develop scalable training and evaluation tools and infrastructure.
Requirements:
- Master’s or Ph.D. degree in Machine Learning, CS or related field;
- Self-starter; the ability to own projects with little oversight;
- Strong quantitative background;
- Skilled software developer with experience in C/C++, Python and/or CUDA;
- Experience with sensor data processing, environment modeling, large-scale point-cloud processing, or machine learning;
- Experience with a wide variety of Deep Learning Models (e.g. LSTM, RNN, CNN, GAN, etc.);
- Worked with one or more neural network frameworks, such as Tensorflow, Caffe & Torch.