NLP Engineer
Posted: February 21, 2023
Are you a NLP Engineer who’s eager to innovate and build scalable solutions that will support the next hit movie, TV show or video game? StoryFit is an Austin-based growth-stage startup that uses NLP to produce actionable data and audience insights that change how entertainment clients acquire, develop, and drive growth and performance for their IP.
We are looking for an NLP engineer to work closely with our product and analytic teams. You will be responsible for building, measuring, and optimizing the quality of StoryFit’s algorithms.
Experience and Qualifications:
- Master’s degree or similar level experience in Data Science, Machine Learning, Mathematics, Computer Science, Statistics, or another relevant quantitative field
- 3+ years of experience as a NLP Engineer
- A strong knowledge of Natural Language Processing (NLP) including experience creating practical models solving problems like contextual emotion detection, converting text into a timeline, aspect-based sentiment analysis, stance detection, co-reference resolution, etc.
- Proficiency with Python (scikit-learn, SpaCy, NLTK, genism, AllenNLP, HuggingFace etc.)
- Experience with a deep learning frameworks (Tensorflow, Pytorch, etc.) and deep learning architectures (RNNs, CNNs, Transformers, etc.)
- Experience with SQL, databases, and other data management tools
- A deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms
- Ability to build software in a cloud environment, (git, docker, CI/CD, AWS, APIs)
Ideal Candidate Will Bring:
- Master’s degree or similar level experience in Data Science, Machine Learning, Mathematics, Computer Science, Statistics, or another relevant quantitative field
- 3+ years of experience as a NLP Engineer
- A strong knowledge of Natural Language Processing (NLP) including experience creating practical models solving problems like contextual emotion detection, converting text into a timeline, aspect-based sentiment analysis, stance detection, co-reference resolution, etc.
- Proficiency with Python (scikit-learn, SpaCy, NLTK, genism, AllenNLP, HuggingFace etc.)
- Experience with a deep learning frameworks (Tensorflow, Pytorch, etc.) and deep learning architectures (RNNs, CNNs, Transformers, etc.)
- Experience with SQL, databases, and other data management tools
- A deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms
- Ability to build software in a cloud environment, (git, docker, CI/CD, AWS, APIs)
Benefits:
-
- Salary
-
- Healthcare benefits
-
- 401(K) matching
-
- Flexible PTO
Austin, TX preferred / Open to relocation
At this time, we are unable so provide visa sponsorships.
At this time, we are not accepting applications from 3rd party agencies.