
NLP Research Engineer
Lead creation of NLP-based machine learning model(s), iterate, perform hyperparameters optimization and evaluate model performance. Work with cross-functional RD teams, scientists/analysts, doing hands-on ML research and development in natural language processing. Identify and evaluate new patterns and technologies to improve performance and maintainability of our NLP machine learning systems. Develop cutting-edge natural language translation, and sequence to sequence deep learning models along with data and model parallelism components. Develop tools and metrics for handling machine learning experiments during training, inference, logging, and analytics.
5+ years of experience developing in Python and in deep learning infrastructure
4+ years of experience coding models that implement natural language translation models, and large vocabulary NLP systems
Experience working with cloud-based training infrastructure.
Software Development
Pytorch
Time Management Skills
Tensorflow/Keras
Deploying NLP + Vision machine learning models
Process Improvement
Driven and self-motivated
Problem-Solving
Flexible to adapt in situation
Detail Oriented and Organized
Verbal and Written Communication
Multi tasker
According to JobzMall, the average salary range for a NLP Research Engineer in 2200 Mission College Blvd, Santa Clara, CA 95054, USA is from $92,000 to $150,000 per year. This salary range is based on the average salary of a NLP Research Engineer in the same area, as reported by other job boards.
The actual salary offered for a NLP Research Engineer in this area may vary depending on the company, experience, and other factors.
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Intel Corp. engages in the design, manufacture, and sale of computer products and technologies. It delivers computer, networking, and communications platforms. It operates its business through the following segments: Client Computing Group, Data Center Group, Internet of Things Group, Non-Volatile Memory Solutions Group, Intel Security Group, and Programmable Solutions.

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