Data Science Innovation Specialist
3 weeks ago
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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