Data Science Innovation Specialist

3 weeks ago


Princeton, New Jersey, United States Genmab Full time
About the Role

We are seeking a highly motivated and skilled data professional to join our dynamic AI Lab team as an Data Science Innovation Specialist. This internship is designed for students currently pursuing a Master's or PhD degree in Computer Science, Data Science, or a related field. The ideal candidate will have extensive experience in natural language processing, large language models, statistical analysis, and data engineering.

Responsibilities:

  • Assist in the development of new features and improvements for our AI projects, focusing on enhancing automation and scalability.
  • Evaluate the performance of our frameworks against existing benchmarks such as HellaSwag and MMLU.
  • Contribute to writing research papers detailing our frameworks, applications, and benchmark results, with a focus on preparing an ArXiv submission.
  • Participate in our community platforms, providing support and engaging with users to gather feedback and drive continuous improvement.
  • Identify and fix issues within our AI frameworks, ensuring smooth operation and integration of new features.
  • Collaborate closely with the AI Lab team to brainstorm, prototype, and implement innovative solutions that align with our research goals.

Qualifications:

  • Education: Currently pursuing a Master's or PhD degree in Computer Science, Data Science, or a related field.
  • Skills: Proficient in Python, natural language processing, LLMs, and data analysis. Experience with frameworks such as LangChain, TensorFlow, PyTorch, and MongoDB is a plus.
  • Experience: Previous experience in developing data science solutions, particularly in NLP and LLM applications. Prior involvement in writing and publishing research papers is advantageous.

What We Offer

  • A competitive salary of $85,000 per annum, commensurate with qualifications and experience.
  • The opportunity to work on cutting-edge AI projects and contribute to groundbreaking research.
  • A collaborative and dynamic work environment with a talented team of professionals.
  • The chance to develop your skills and expertise in a rapidly growing industry.


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