AI/ML Architect

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Sacramento & Bay Area, CA
Job Type
Direct Hire
Aug 22, 2018
Job ID
AI/ML Architect

•    Creation and application of Machine Learning algorithms to a variety of real-world problems as a central component of an AI enabling tool suite.
•    Research, design, develop, and modify computer vision and machine learning algorithms, leveraging experience with technologies such as Caffe2, PyTorch, and TensorFlow.
•    Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives.
•    Help build a high-impact ML/AI team by supporting recruitment, training and development of team members.
•    Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels.
•    Designing integrations of and tuning machine learning & computer vision algorithms
•    Building scalable machine learning systems and data-driven products working with cross functional teams

Knowledge & Abilities
•    Broad knowledge and experience with many of the machine learning frameworks, including the following: Tensorflow, Keras, PyTorch, Caffe/Caffe2
•    Convolutional neural networks (CNN) for performing image classification and object segmentation and detection.
•    Statistical Modeling, Data Extraction, Analysis,
•    Familiarity with Embedded Vision Processing systems, specifically OpenVX
•    Knowledge and experience in OpenCL/CUDA/Metal and other such parallel programming APIs
•    Sound understanding of image processing and computer vision theory and practice
•    Current with the Literature on AI
•    Understanding of the Robot Operating System (ROS)
•    Expert level Python and C++
•    Strong hands-on coding expertise with C/C++, Python
•    Strong knowledge of Linux
•    Rigorous approach to problem solving
•    Good habits around testing, documentation, and writing robust and maintainable code
•    Strong communication skills
•    Team mentality

•    Masters or PhD in a relevant field
•    5-10 years of work or educational experience in Machine Learning and Artificial Intelligence