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Job Description
Job Title: Deep Learning Engineer
Type: Full Time
Location:
- Palo Alto, CA.
- Remote options available
What we are looking for:
- Comfort with uncertainty
- Really strong communication skills!
- A passion for rapid growth, constant personal/professional development
- A passion for “learning while doing”; and an ability to “self-learn” – A team player player
- A passion for helping others!
Requirements:
- Experience with PyTorch, TensorFlow, ONNX, Jupyter Notebook, OpenGL
- Experience with KNIME, H20.ai, DataRobot, or other
- Experience consuming research papers (e.g. NEAT, Transformers, Capsule Networks,GANs, etc.) and implementing them into an above mentioned framework
- Deep understanding of networks, graph theory, complex adaptive systems, mathematics, and computer science
- Extreme comfort with Python (i.e. Python3, Conda, etc.)
- Experience with PyTorch, TensorFlow, ONNX, Jupyter Notebook, OpenGL
- Experience with KNIME, H2O.ai, DataRobot, or other
- Experience consuming research papers (e.g. NEAT, Transformers, Capsule Networks, GANs, etc.) and implementing them into an above mentioned framework
- Deep understanding of networks, graph theory, complex adaptive systems, mathematics, and computer science
- Extreme comfort with Python (i.e. Python3, Conda, etc.)
This is a traditional Machine Learning Engineer — where deep learning is the subset that we are most interested in.
Please feel free to change the name of the role to any other tagline that matches some of the positions in the AI / Bot-creation space that you have filled in the past 🙂
To give more context, here are the fun projects we will be working with on with this role:
- Chat Bots; i.e. coaching assistants, sales assistants, content creation assistants, etc.
- Content Generators; i.e. production assistants, content generations (e.g. video, image, audio, etc.)
- Deep Search; i.e. org-wide & tool-wide search capacity
