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Internship

Pryon Internship, Summer 2024 | Machine Learning

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Pryon

•

1mo ago

🚀 Summer Internship

San Francisco +5

đź’» Remote

AI generated summary

  • Seeking a Masters/Ph.D. student with a background in speech/language technologies or computer science, with experience in machine learning, coding proficiency in Python or other languages, knowledge of deep learning frameworks, strong computer science fundamentals, and excellent critical thinking and communication skills.
  • The candidate will work with a team to develop AI-driven search systems, scale Information Retrieval systems to large document collections, and deploy language models to production.

Summer Internship

Data•San Francisco, Austin, Washington, DC, Seattle, Boston, New York

Description

  • The Machine Learning Intern position at Pryon is intended to help us explore the application of theoretical concepts to real-world problems. Our team works to transform NLP research into day-to-day operations with a focus on efficiency and scale. Projects will be defined by the Machine Learning team collaboratively with the intern at the beginning of the internship. The intern will work closely with the Machine Learning team, writing code and running experiments to explore specific issues to support our work.
  • Interns should be current students in a Bachelors, Masters, or PhD program that is related to the work of the research group, including but not limited to computational linguistics, machine learning, natural language understanding, and computer science.

Requirements

  • Currently Enrolled in a Masters/Ph.D. degree program or equivalent in speech or language technologies, computer science, statistics, or related topics
  • Experience with Machine Learning methodologies, deep learning, information retrieval, text generation, or related applications
  • Coding ability in an industry standard programming language (Python, C, C++, C#, Java, etc.) & familiar with a deep learning framework (PyTorch, TensorFlow etc.)
  • Strong foundation in Computer Science with competencies in data structures, algorithms, and software design
  • Excellent critical thinking skills, combined with clear communication skills

Education requirements

Currently Studying
Masters
PhD

Area of Responsibilities

Data

Responsibilities

  • Work with a team that is building a new generation of AI-driven search systems
  • Contribute to the work of scaling our Information Retrieval systems to very large collections of documents
  • Learn how we deploy large language models to production use cases

Details

Work type

Full time

Work mode

remote

Location

San Francisco, Austin, Washington, DC, Seattle, Boston, New York

Benefits

  • 100% Company paid Health/Dental/Vision benefits for you and your dependents
  • Life Insurance, Short-term and Long-term Disability
  • 401k
  • Unlimited PTO