Base Salary
$130k - $220k/yr
Responsibilities
- Work with customers to understand AI/ML challenges and design and deploy custom solutions
- Serve as the primary technical contact during deployment and provide hands-on integration support
- Collaborate with product management and engineering to communicate customer feedback and influence AI/ML roadmaps
- Lead AI/ML solution deployments and ensure integration and ongoing optimization
- Provide technical training to clients and improve model performance proactively
- Communicate progress and outcomes clearly to stakeholders
Requirements
- Master’s or Ph.D. in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field
- 2–5 years of experience in AI/ML engineering, data science, or a similar role
- Strong experience deploying and integrating AI/ML solutions in real-world environments
- Proficiency with LLMs, RAGs, evaluation techniques, TensorFlow or PyTorch, and Python
- Experience with AWS, Azure, Google Cloud, and ML services
- Ability to diagnose model drift, data quality, and performance optimization issues
- Client-facing experience with strong communication and relationship-building skills
- Familiarity with MLOps tools such as MLflow and with model deployment, monitoring, and CI/CD
- Preferred experience applying AI/ML to data analysis, predictive modeling, or automation
- Preferred background deploying and supporting software in legal technology or complex enterprise environments
Benefits
- Professional growth opportunities and encouragement to explore new ideas
- Work on impactful AI innovation for enterprise legal teams
- Collaborative, dynamic culture with passionate and driven colleagues
- Role based in Palo Alto
Categories
About Eudia
Eudia builds Enterprise Intelligence. Most legal AI makes lawyers more efficient. Eudia makes the enterprise self-sufficient. Most AI generates answers. It does not understand how your organization actually makes decisions, including your risk tolerance, negotiation standards, or institutional precedent. Eudia creates Digital Twins, encoding how your best experts think into a governed Enterprise Brain embedded directly into the systems where work happens, including Microsoft 365, ServiceNow, and iManage. Within the Enterprise Brain, specialized decision engines called MINDs handle real business problems such as contracts, compliance, procurement, and policy. They deliver expert-grade decisions at scale. The result: • Faster contracting and decision-making • Reduced reliance on external counsel • Self-service across the business • Institutional knowledge that compounds instead of walking out the door Sales teams self-serve on contracts. Marketing validates claims in real time. Procurement interprets policy instantly. The business gets governed answers at speed. Legal reclaims time for work that truly requires human judgment.