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Software Engineering Intern, Llm (Remote)
Company | AllTrails |
Address | San Francisco, CA, United States |
Employment type | INTERN |
Salary | |
Category | Transportation, Logistics, Supply Chain and Storage |
Expires | 2023-07-17 |
Posted at | 11 months ago |
Software Engineering Intern, LLM
- Building prototypes to test and iterate on new feature development
- Presenting your work to various stakeholders
- Writing clean and performant code as well as detailed and effective English prompts
- Partnering with teammates on the data science and engineering team to develop robust solutions to specific technical challenges
- Working with state-of-the-art Large Language Models (LLMs)
- Expert communication skills, including the ability to persuade and inspire, a knack for breaking down complex concepts, and a proactive attitude towards knowledge sharing and documentation
- Actively working on B.S. or M.S. degree in software engineering, computer science, machine learning, artificial intelligence, or similar degree with at least 2+ years of relevant experience
- You deeply value data security, privacy, and are cautious about the limitations of LLMs and other Generative AI systems.
- Working knowledge of Git/Github
- Familiarity and comfort with moving between multiple languages and technology stacks
- A curious mindset and a deep desire to work with Generative AI systems. You are someone who regularly improves your prompting skills, stays up-to-date on the latest breakthroughs with Large Language Models, has a basic understanding of how they work, and explores related tools and frameworks
- Strong attention to detail, analytical, and a problem solver with a keen insight for asking the right questions and building solutions to drive direct business value
- Experience with Ruby-on-Rails preferred, though similar full-stack experience in Flask, Django, or Node.js will be considered
- Related classwork in natural language processing or artificial intelligence
- Experience working with LangChain or the OpenAI API
- Experience working in search relevancy
- Experience working on systems with production-level request volumes
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