{"id":3989738,"url":"https://alion.io/job/asml-internship-co-op-ai-engineer","title":"Internship- Co-Op: AI Engineer","company":{"id":17151,"name":"ASML","domain":"asml.com","url":"https://alion.io/company/asml","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":137,"ghost_share":0,"stale_share":0.832,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Diego, 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":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false}],"status":"live","first_seen_at":"2026-11-09T22:59:12Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T22:59:12Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Co-Op: AI Engineer (College Student)\nLocation: San Diego, CA (Hybrid)\nOrganization: ASML - IT & Data / Chief Data Office (CDO US)\nTeam: AI Foundation & Platform\nAbout the Team\nThe CDO US AI Foundation & Platform team enables AI innovation across ASML by building reusable AI platforms, agentic solutions, scientific AI capabilities, and governance frameworks that allow teams across engineering, manufacturing, service, and operations to safely deploy AI at scale. The team works on real-world AI solutions that accelerate engineering decisions, improve operational efficiency, and support next-generation semiconductor technologies.\nWhat You Will Do\nAs an AI Engineer Co-Op, you will work alongside experienced AI architects, AI engineers, and platform engineers to design, develop, and operationalize AI solutions that support ASML's business and technology objectives.\nResponsibilities include:\nBuild and enhance AI-powered applications using modern LLMs, agent frameworks, and AI orchestration capabilities.\nDevelop and test prompts, AI workflows, RAG solutions, and agentic AI systems.\nAssist in deploying secure and governed AI solutions on enterprise-approved platforms.\nContribute to MLOps and AI governance capabilities that improve transparency, reliability, and compliance.\nSupport evaluation frameworks, scorecards, benchmarking, and AI quality measurement processes.\nCollaborate with business stakeholders to translate ideas into working AI prototypes and production solutions.\nParticipate in code reviews, technical design sessions, and agile delivery ceremonies.\nContribute technical documentation, onboarding materials, and engineering best practices.\nDesired Qualifications\nPursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline.\nExperience with Python.\nFamiliarity with machine learning, LLMs, GenAI, or agent-based systems.\nExperience with Git, software development practices, and cloud technologies.\nExposure to Azure AI, Azure ML, Databricks, LangChain, Semantic Kernel, OpenAI, Mistral, or similar technologies is a plus.\nStrong analytical and problem-solving skills.\nExcellent communication and collaboration abilities.\nWhat Success Looks Like\nBy the end of the co-op, you will have:\nBuilt production-relevant AI capabilities used by engineering or business teams.\nContributed to enterprise AI governance and MLOps practices.\nDelivered reusable components that can scale across multiple AI initiatives.\nDemonstrated the ability to move from experimentation to operational deployment.\nCultural Fit\nWe are looking for students who:\nHave a strong learning mindset and intellectual curiosity.\nEnjoy tackling difficult technical problems.\nBalance innovation with responsible engineering.\nSimplify complex problems rather than adding complexity.\nThrive in collaborative, highly technical environments.\nAre excited about the application of AI in semiconductor technology, engineering, and advanced manufacturing\nInclusion and diversity\nASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.\nNeed to know more about applying for a job at ASML? 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