About the Role:
We are seeking a highly motivated and innovative AI Engineer Intern for either the spring or summer to join our growing team in Palo Alto. This internship offers an exceptional opportunity to work on challenging Machine Learning / Gen AI problems in the legal domain. As an intern, you will collaborate with experienced AI researchers and engineers to solve enterprise-grade AI problems across Content AI, Document AI, and the applications built on top of them, including evaluating and fine-tuning both open-source and closed-source models, improving retrieval and reasoning quality, and testing AI systems for accuracy, reliability, and performance. This is a hands-on opportunity to contribute to real-world AI applications, tackle fundamental challenges in deep learning, and gain exposure to production-grade AI systems.
As an intern, you will work alongside experienced engineers and professionals to solve real-world problems, create impactful AI solutions, and learn from the best in the field.
Key Responsibilities:
- Assist in designing and implementing AI/ML solutions to address customer-specific challenges.
- Collaborate with senior engineers to build, test, and deploy machine learning models in production environments.
- Support the development of cloud-agnostic and secure enterprise-grade software solutions.
- Participate in troubleshooting and optimizing AI/ML models, addressing issues such as model drift and performance bottlenecks.
- Conduct research and analysis to improve model efficiency and accuracy.
- Help develop and maintain documentation for AI workflows and deployment processes.
- Provide input on product development and contribute to enhancing the AI/ML product roadmap.
Qualifications:
- Currently pursuing a Bachelor's or Master's in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field.
- Experience with traditional machine learning, deep learning, LLMs, Retrieval-Augmented Generation (RAG), or other NLP techniques.
- Familiarity with MLOps practices and tools such as MLflow for monitoring and deploying machine learning solutions.
- Exposure to real-world projects involving data analysis, predictive modeling, or automation.
- Interest in the legal technology domain or experience working with enterprise-grade systems.
- Impactful Work: Be part of a team that’s at the forefront of AI innovation.
- Growth Opportunities: Work in an environment that encourages professional growth and the exploration of new ideas.
- Dynamic Culture: Join a group of passionate, driven individuals who are committed to making a difference.
If you’re ready to take on the challenge and make an impact in a rapidly evolving industry, we want to hear from you!
Skills Required
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field.
- Experience with traditional machine learning, deep learning, large language models, Retrieval-Augmented Generation, or NLP techniques.
- Familiarity with MLOps practices and tools such as MLflow.
- Exposure to real-world projects involving data analysis, predictive modeling, or automation.
- Interest in legal technology or experience working with enterprise-grade systems.
What We Do
The Eudia Augmented Intelligence Platform elevates the role of legal with bespoke AI solutions that eliminate routine work and illuminate previously unseen insights. By combining the power of a best-in-class LLM with expert, human-in-the-loop deployment, Eudia empowers legal teams to: Deliver greater business value by surfacing revenue opportunities, aligning risk incentives, and more. Work more efficiently and accurately, including optimizing external counsel spend. Stop the toil of menial legal tasks, allowing valuable, knowledgeable lawyers to focus on the most rewarding parts of their job. Ultimately, AI is how tomorrow’s legal team will transcend the tug-of-war between working at the speed of the business and eliminating risk, allowing legal teams to deliver billions in business value. But only Eudia stands ready to offer the co-created, trustworthy platform that in-house legal teams require.
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