The board
- Where
- Palo Alto, CA
- Posted
- Sep 8
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.
What you'd do
- 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.
What they want
- 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.