- Learn new domains and problems.
- Experiment with models and data.
- Collaborate with other experts.
- Develop reference and production implementation of models and pipelines.
- Present at weekly demos and various sessions.
- Support production engineering teams and develop automated tests.
- Build things.
- Current knowledge of deep learning concepts (e.g. transformer models, data parallelism, model parallelism).
- Coding proficiency in at least one modern deep learning framework such as PyTorch or Tensorflow.
- Hands-on programming experience with Python.
- Experience with hardware accelerators (e.g. GPU) is a plus.
- Experience in optimizing deep learning training and inference is a plus.
- Bachelor’s degree in artificial intelligence, math, statistics, physics, economics, computer science, or equivalent in related technical experience.
About SphereOI Studios:
SphereOI Studios is an award winning digital studio that develops data responsive solutions with deep analytics and artificial intelligence. We believe that data science that aligns with business value can increase market share and pricing power, enhance customer engagement or completely transform a product category. We fuse data strategy with data science and design driven innovation to create customer technologies for commercial and federal customers.