Lead AI Engineer (Applied Scientist)
Eudia is seeking a Lead AI Engineer (Applied Scientist) to join our team in Palo Alto, CA. In this role, you will collaborate with Fortune 500 companies' legal and risk departments to develop secure, enterprise-grade software utilizing the latest advancements in Generative AI. This position offers the opportunity to tackle challenges in creating cloud-agnostic solutions, maintaining stringent security and compliance standards, and building scalable, resilient platforms for enterprise applications, data, AI, and search.
As a Lead AI Engineer, your primary responsibilities will include building, training, and deploying production-grade models with a focus on scalability and efficiency. You will optimize existing models for performance, accuracy, and reliability in live environments. Collaboration with cross-functional teams, including data engineers, software developers, and product managers, will be essential to define project requirements and deliver AI-powered solutions. Additionally, you will process, clean, and analyze large, complex datasets to extract actionable insights and develop robust data pipelines for continuous improvement of AI models. Defining success metrics for AI models and continuously monitoring performance against business objectives will also be key aspects of your role. Furthermore, you will mentor a team of AI Engineers, fostering a culture of innovation, experimentation, and continuous learning.
The ideal candidate will possess a Master’s or Ph.D. in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field. A minimum of 6 years of experience in AI/ML engineering, data science, or a similar role is required, with a strong background in deploying and integrating AI/ML solutions in real-world environments. Proficiency in Large Language Models (LLMs), Retrieval-Augmented Generation (RAGs), evaluation techniques, and machine learning frameworks such as TensorFlow and PyTorch is essential. Experience with cloud platforms like AWS, Azure, or Google Cloud and ML services is also necessary. Strong problem-solving skills in diagnosing and resolving AI/ML model issues, including model drift, data quality challenges, and performance optimization, are crucial. Familiarity with MLOps practices and tools, such as MLflow, and experience in model deployment, monitoring, and continuous integration/continuous deployment (CI/CD) of AI/ML solutions are highly desirable. A passion for AI/ML technologies and a desire to work on innovative solutions that drive significant impact for customers is expected.
Eudia offers a competitive base salary ranging from $200,000 to $350,000 per year. The posted salary range is based on our research for companies of our stage and size while in compliance with California law. However, this is just a base compensation range, and we encourage those who are interested to apply and have an initial discussion.
At Eudia, we are 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. We move fast, shipping 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. 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.