Data Science Intern

Formstack Logo

Formstack

πŸ’΅ $52k-$62k
πŸ“Remote - United States

Summary

Join Formstack's Data Classification team as an intern for a 4-month term! This remote position bridges data science and software development, focusing on data classification using deep learning models. You will contribute to a new workflow automation platform, researching new data types, preparing training data, tuning AI prompts, and analyzing model performance. The ideal candidate possesses strong machine learning knowledge, Python proficiency, and experience with relevant tools. Occasional in-person meetings in NYC are required, and preference is given to Tri-State area candidates. Formstack values diversity and encourages applications from all qualified individuals.

Requirements

  • You’re working towards obtaining a Master’s degree in Data Science or a related field or equivalent practical experience
  • Strong understanding of machine learning, artificial neural networks, and language models
  • Proficiency in writing object-oriented code in Python
  • Experience with PyTorch, SciPy, Jupyter Notebooks, and Hugging Face Transformers
  • Comfort using the Unix command line
  • Proven research skills and the ability to find reliable information and datasets
  • Ability to think critically about the contexts in which companies produce and use data
  • Excellent communication skills for technical concepts

Responsibilities

  • Researching new types of data to add to our classifier
  • Finding and preparing training data
  • Helping with data cleanup
  • Tuning prompts for AI data generation
  • Developing and analyzing benchmarks measuring accuracy, speed, and consistency of results
  • Finding new evaluation datasets for the classifier, helping run experiments, and analyzing results

Preferred Qualifications

  • Experience working in Git repositories with multiple contributors
  • Familiarity with AWS, Kubernetes, ArgoCD, SageMaker, and/or Bedrock AI
  • Knowledge of Java

Benefits

  • $25 - $30 an hour
  • This is a remote position, with occasional in-person meetings

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