Conducts design and development to build and optimize AI software. Designs, develops, and optimizes for AI frameworks (e.g., OpenVINO) and to contribute to external frameworks (e.g., TensorFlow, PyTorch). Implements various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in machine learning, and/or deep learning frameworks. Transforms computational graph representation of neural network model, and develops machine learning and/or deep learning primitives in mathematical libraries. Profiles distributed deep learning models to identify performance bottlenecks and proposes solutions across individual component teams. Optimizes code for various computing hardware backends, and interacts with machine learning and/or deep learning researchers, and utilizing experience with machine learning and/or deep learning frameworks.

Qualifications

You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork and/or classes and/or research and/or relevant previous job and/or internship experiences


Minimum Qualifications:
The candidate must possess a Bachelor's degree ( 3+ years experience ), Master's degree ( 1+ years experience ) or PhD degree in Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics and related fields

2+ years' experience in below areas:

• DL development in TensorFlow or Pytorch
• Candidate should be solid on at least one of the following languages and familiar with both: Python, C/C++
• Unix/Linux operating systems especially with virtual containerized environments (docker, conda)
• Multi-node cluster setup and orchestration (Kubernetes); CI/CD tools and methodologies.
• DL development in TensorFlow or Pytorch for multi-node training and inference
• Experience and expertise at least in TWO of these domains: image/video, natural language, Recommendation systems and data analyses

Preferred Qualifications:

• Have improved performance for one of the DL frameworks
• Have implemented new model on one of the DL frameworks
• Have ported a model from one DL framework to another
• Have used existing model to improve state-of-art of empirical problem

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Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.