Member of Technical Staff

Eudia•Palo Alto, CA
•$180,000 - $210,000

About The Position

Eudia is hiring a solutions-minded, AI-focused engineer to join its growing team in Palo Alto. The role works with data from Fortune 500 legal and risk departments to develop secure, enterprise-grade software using generative AI. It involves creating cloud-agnostic solutions, meeting stringent security and compliance standards, and building scalable, resilient platforms for enterprise applications, data, AI, and search. The engineer will innovate for customers and collaborate with legal and risk experts, business professionals, technology specialists, and engineers.

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, including deploying and integrating AI/ML solutions in real-world environments.
  • Proficiency in LLMs, RAGs, evaluation techniques, machine learning frameworks such as TensorFlow or PyTorch, and programming languages such as Python.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud and ML services.
  • Strong problem-solving skills to diagnose and resolve AI/ML model issues, including model drift, data quality challenges, and performance optimization.
  • Client-facing experience, excellent communication and interpersonal skills, and ability to build customer relationships and guide customers through AI/ML deployment.
  • Familiarity with MLOps practices and tools such as MLflow, plus experience with model deployment, monitoring, and CI/CD of AI/ML solutions.
  • Passion for AI/ML technologies and interest in developing innovative solutions with significant customer impact.

Nice To Haves

  • Familiarity with applying AI and machine learning in customer deployments, particularly for data analysis, predictive modeling, or automation.
  • Experience deploying and supporting software in legal technology or complex enterprise environments, with an understanding of industry-specific challenges and requirements.

Responsibilities

  • Work with customers to understand and address AI/ML challenges, designing and deploying custom solutions using company technologies.
  • Serve as the primary technical contact, providing hands-on deployment support and ensuring successful integration.
  • Collaborate with product management and engineering to communicate customer feedback and influence AI/ML product roadmaps.
  • Lead deployment of AI/ML solutions, ensuring smooth integration and ongoing optimization.
  • Provide technical training to clients, identify deployment challenges, and proactively improve model performance.
  • Communicate regularly with stakeholders about progress and outcomes.

Benefits

  • Professional growth opportunities and an environment that encourages exploring new ideas.
  • Opportunity to work on impactful AI innovation.
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