{"id":1662887,"url":"https://alion.io/job/datacor-data-science-summer-2027-internship-program","title":"Summer 2027 AI Engineer Intern","company":{"id":6899,"name":"Datacor","domain":"datacor.com","url":"https://alion.io/company/datacor","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":45000,"max_usd":75000,"period":"year","method":"role_seniority_country_cell","sample_n":264},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"C++","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-10-01T18:12:42Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-08T20:32:34Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"About Us:\nDatacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers’ most difficult problems.\nWe are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at Datacorhelp our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications.\nThe Role:\nAt our core, we empower our top talent with the autonomy to craft innovative solutions that make a real difference-helping our users become better, faster, smarter, and more efficient. In our working team model, you’ll move fast and continuously deliver cutting-edge features by collaborating with a cross functional team. This approach gives our AI scientists and engineers full ownership-from ideation and research to experimentation and scaling groundbreaking products and services that directly impact our users’ daily operations. \nWe seek curious, humble, and driven individuals who embrace learning as a fundamental part of their journey. If you’re passionate about pushing AI boundaries and making a meaningful impact alongside a supportive, innovative team, this is the place for you.\nResponsibilities: \nCollaborate with stakeholders to identify new AI opportunities and create intelligent AI applications. \nLead MVP development using a test-and-learn approach with cross-functional teams. \nIterate from problem framing to prototyping and deploying production-grade solutions. \nDeliver reliable, scalable AI features in production. \nBuild prototypes and develop data pipelines for deployment. \nExperiment with generative LLMs to create and enhance generative applications using prompts and user feedback. \nClearly communicate efforts and impact to both technical and business audiences. \nQualifications: \nCurrently enrolled in a Master’s of PhD program in Computational Data Science, Computer Science, Electrical/Computer Engineering, or related fields.\nA self-starterwith the ability to work independently and within a team.\nExperience in a professional environment, including prior internship experience is preferred.\nExpertise in the latest Large Language Models (LLMs) and AI advancements. \nProactive in staying updated with evolving AI trends and new LLM releases. \nSkilled at diagnosing and solving complex, ambiguous problems with curiosity and a product-focused mindset. \nStrong communication and presentation skills, able to convey complex analysis clearly and actionably. \nResults-oriented, creative thinker who takes initiative and delivers practical solutions. \nCommitted to inclusivity, respecting diverse perspectives to foster innovation and build great products. \nProven expertise in implementing and fine-tuning generative AI LLMs, with strong NLP knowledge including embeddings, GPT, and Transformer models. \nFamiliarity with cloud computing and AI deployment on AWS or Google Cloud. \nSolid foundation in deep learning, machine learning, statistics, and optimization from coursework or practical experience. \nProficient in Python & C++/Java programming through academic or work experience. \nThis is a remote internship with potential travel, depending on location, schedule, and business needs.\nEOE Statement:\nDatacor is an Equal Opportunity Employer and does not discriminate on the basis or race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. \nUse of AI During Interviews: \nAt Datacor, we value thoughtful problem-solving and authentic perspectives. To ensure a fair and consistent evaluation process, we ask that candidates do not use generative AI tools or outside assistance during live interviews unless explicitly stated otherwise. 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