{"id":560877,"url":"https://alion.io/job/eudia-ai-engineer-intern","title":"AI Engineer Intern","company":{"id":63455,"name":"Eudia","domain":"eudia.com","url":"https://alion.io/company/eudia","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":74,"open_postings":21,"ghost_share":0.429,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":58,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-09-08T19:58:26Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-11-04T00:58:37Z","board_verified":true,"closed_at":null,"days_open":56,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":55},"description":"About Eudia:\nEudia 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. \nAt 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. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation. \nWe’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. 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. \nAbout the Role:\nWe are seeking a highly motivated and innovative AI Engineer Intern for either the spring or summer to join our growing team in Palo Alto. This internship offers an exceptional opportunity to work on challenging Machine Learning / Gen AI problems in the legal domain. As an intern, you will collaborate with experienced AI researchers and engineers to solve enterprise-grade AI problems across Content AI, Document AI, and the applications built on top of them, including evaluating and fine-tuning both open-source and closed-source models, improving retrieval and reasoning quality, and testing AI systems for accuracy, reliability, and performance. This is a hands-on opportunity to contribute to real-world AI applications, tackle fundamental challenges in deep learning, and gain exposure to production-grade AI systems.\nAs an intern, you will work alongside experienced engineers and professionals to solve real-world problems, create impactful AI solutions, and learn from the best in the field.\nKey Responsibilities:\nAssist in designing and implementing AI/ML solutions to address customer-specific challenges.\nCollaborate with senior engineers to build, test, and deploy machine learning models in production environments.\nSupport the development of cloud-agnostic and secure enterprise-grade software solutions.\nParticipate in troubleshooting and optimizing AI/ML models, addressing issues such as model drift and performance bottlenecks.\nConduct research and analysis to improve model efficiency and accuracy.\nHelp develop and maintain documentation for AI workflows and deployment processes.\nProvide input on product development and contribute to enhancing the AI/ML product roadmap.\nQualifications:\nCurrently pursuing a Bachelor's or Master's in Computer Science, Machine Learning, AI, Mathematics, Statistics, or a related field.\nExperience with traditional machine learning, deep learning, LLMs, Retrieval-Augmented Generation (RAG), or other NLP techniques.\nFamiliarity with MLOps practices and tools such as MLflow for monitoring and deploying machine learning solutions.\nExposure to real-world projects involving data analysis, predictive modeling, or automation.\nInterest in the legal technology domain or experience working with enterprise-grade systems.\nWhy You’ll Love Working Here:\nImpactful Work: Be part of a team that’s at the forefront of AI innovation.\nGrowth Opportunities: Work in an environment that encourages professional growth and the exploration of new ideas.\nDynamic Culture: Join a group of passionate, driven individuals who are committed to making a difference.\nIf you’re ready to take on 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