Pryon
Pryon Internship, Summer 2024 | Research: Modeling & LLMs
Job Description
About Pryon: We’re a team of AI, tech, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we’re building an industry-leading knowledge management platform. Our proprietary, cutting-edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed.
The Research Intern position at Pryon is designed to give students the opportunity to conduct industrial research and explore new directions in various application areas of NLP, including question answering, summarization, conversational AI, information extraction, large language models, and multilingual & multimodal modeling. Projects will be defined by the research group collaboratively with the intern at the beginning of the internship. The intern will work closely with the research team and be highly engaged in all aspects of the project, including both coding and experimentation, and the innovation and documentation of novel ideas. Interns should be current students in a Master’s or PhD program that is related to the work of the research group, including but not limited to machine learning, natural language understanding. This is a paid part-time internship and does not include benefits.
The Research Intern position at Pryon is designed to give students the opportunity to conduct industrial research and explore new directions in various application areas of NLP, including question answering, summarization, conversational AI, information extraction, large language models, and multilingual & multimodal modeling. Projects will be defined by the research group collaboratively with the intern at the beginning of the internship. The intern will work closely with the research team and be highly engaged in all aspects of the project, including both coding and experimentation, and the innovation and documentation of novel ideas. Interns should be current students in a Master’s or PhD program that is related to the work of the research group, including but not limited to machine learning, natural language understanding. This is a paid part-time internship and does not include benefits.
In This Role, You Will:
- Help solve fundamental problems in machine learning, natural language understanding and human computer interaction with applicability to practical commercial use cases
- Explore a new research direction within these areas in collaboration with the research team, with the goal of executing a research project that can be published at top peer-reviewed venues
- Conduct the associated coding, experimentation, documentation, and model development to drive the research project to success
What You’ll Need to Be successful:
- Required: Enrolled in a Masters/Ph.D. degree program or equivalent in speech or language technologies, computer science, statistics, or related topics.
- Required: Experience with NLP & ML methodologies, deep learning, information retrieval, text generation, or related applications.
- Required: Coding ability in an industry standard programming language (Python, C, C++, C#, Java, etc.) & familiar with a deep learning framework (PyTorch, TensorFlow etc.)
- Required: Excellent critical thinking skills, combined with clear communication skills.
- Required: Able to execute a research agenda with minimal supervision, and collaborate effectively with other researchers
- Preferred: Publication(s) at peer-reviewed conferences or journals
Benefits for Full Time Employees: 100% Company paid Health/Dental/Vision benefits for you and your dependentsLife Insurance, Short-term and Long-term Disability401kUnlimited PTO
We are interested in every qualified candidate who is authorized to work in the United States. However, we are not able to sponsor or take over sponsorship of employment Visas at this time.
Pryon is an equal-opportunity employer and values diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.