AI Engineer Intern at Eudia

Job description

About Eudia: Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver. At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation. We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you. 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. Why You’ll Love Working Here: 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!

Requirements

Must-haves

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.
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.
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!

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningml

Platform: greenhouse
Effort: quick