AI Engineer Intern

Eudia
Palo Alto
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Problem-solving","Collaboration","Documentation","Troubleshooting","Innovation"]

Work on challenging Machine Learning and GenAI problems in the legal domain, partnering with experienced researchers and engineers. Help design, build, test, and deploy AI/ML models for Content AI and Document AI, improving retrieval and reasoning quality and evaluating model accuracy, reliability, and performance. Contribute to production-grade, cloud-agnostic solutions, troubleshoot model drift and bottlenecks, and support AI workflow documentation and product roadmap input.

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FursaFursa
Eudia
Eudia
1 day ago

AI Engineer Intern

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Work on challenging Machine Learning and GenAI problems in the legal domain, partnering with experienced researchers and engineers. Help design, build, test, and deploy AI/ML models for Content AI and Document AI, improving retrieval and reasoning quality and evaluating model accuracy, reliability, and performance. Contribute to production-grade, cloud-agnostic solutions, troubleshoot model drift and bottlenecks, and support AI workflow documentation and product roadmap input.
Location: Palo Alto
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Assist in designing and implementing AI/ML solutions for customer-specific challenges.
  • •Collaborate with senior engineers to build, test, and deploy machine learning models in production environments.
  • •Support development of cloud-agnostic and secure enterprise-grade software solutions.
  • •Troubleshoot and optimize AI/ML models, including addressing model drift and performance bottlenecks.
  • •Conduct research to improve model efficiency and accuracy, and help document AI workflows and deployment processes.

Key Requirements

  • •Currently pursuing a Bachelor's or Master's in Computer Science, Machine Learning, AI, Mathematics, or 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.
Experience:Legal technologyEnterprise softwareMachine learningGenerative AI
Education:Bachelor's in Computer Science, Machine Learning, AI, Mathematics, Statistics
Skills:Problem-solvingCollaborationDocumentationTroubleshootingInnovation
Languages:English
Tech Stack:Machine learningDeep learningLLMsRetrieval-Augmented Generation (RAG)NLPMLOpsMLflowOpen-source modelsClosed-source models

Company Brief

Eudia
Eudia builds AI-powered recruitment and hiring tools that automate candidate sourcing, engagement, assessment, and interview coordination, helping employers streamline hiring workflows, reduce time-to-hire, and deliver a more efficient candidate experience.
Industry: HR Tech
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