ML Researcher - Spaulding, CA, United States - ZephyrTech
Description
At Spaulding, CA, we are passionate about code. Since our establishment in 2000, our goal has been to create the most efficient developer tools in the world. Our tools streamline production by automating routine checks and corrections, allowing developers to innovate, explore, and create.
Our team at Paper-Analyzer, located at JetBrains, is currently developing a natural language processing tool for extracting knowledge from biomedical papers.
We would love to have you on our team if you:
- Stay updated on the latest research in deep learning and natural language processing.
- Can design reproducible experiments to test your own ideas or ideas from research papers.
- Have the ability to integrate experimental code into an existing codebase for use in production.
- Are familiar with popular deep learning and NLP frameworks for Python, such as PyTorch, Transformers, NLTK, and spaCy.
- Are eager to grow professionally and master new technologies.
- Take pride in your work.
We would be especially excited if you:
- Have experience training models for tasks such as named entity recognition and semantic role labeling.
- Have worked with crowdsourcing or datalabeling frameworks.
- Conducting experiments for various NLP tasks, such as named entity recognition, semantic role labeling, relation extraction, and summarization.
- Analyzing data sets and model predictions to identify ways to improve
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