Join Vylor—Powering the Future of Agriculture

At Vylor, we’re advancing agriculture through breakthrough science—combining elite germplasm, cutting-edge biotech, and next-generation expertise in gene editing and molecular breeding. Our portfolio includes trusted industry brands like Pioneer®, Brevant®, and Hoegemeyer®, delivering performance farmers rely on.

Join us to help scale innovation globally and shape what’s next in crop science.

Vylor is seeking a motivated Digital Agriculture & AI Integration Intern to support strategic digital-transformation initiatives across global seed production and agricultural operations. Working with regional field teams, agronomy and data partners, and global seed production support teams, the intern will help coordinate digitization projects, organize approved knowledge resources for internal AI tools, and validate digital insights for field use.

This internship offers hands-on experience in project coordination, stakeholder engagement, data quality, responsible AI enablement, and digital-tool validation within a global agricultural business.

Duration: Six months preferred; qualified candidates available for a three-month summer internship may also be considered.

Key Responsibilities

Digital Project Coordination and Feasibility

Support project scoping, requirements gathering, and documentation for regional digitization efforts
Assist in evaluating the use and effectiveness of current digital tools, such as SCiO moisture sensors, and help assess their potential scalability
Coordinate with regional field teams, global support teams, and approved technology partners to clarify integration pathways and internal-system requirements
Track actions, risks, decisions, and project progress, and communicate updates to key stakeholders

AI Knowledge Preparation and Validation

Collect, organize, and curate approved standard operating procedures, training materials, and product information for potential use by internal large language model (LLM) and AI tools
Support the development and testing of prompt-and-response approaches for internal Copilot and AI use cases
Evaluate AI-generated responses for accuracy, relevance, consistency, and alignment with approved source materials
Document gaps, errors, and improvement opportunities while following Vylor's data-governance, privacy, information-security, and responsible-AI requirements

Field-Tool Validation and Insight Enablement

Collaborate with agronomy, field, and data teams to evaluate insights from internal digital platforms, remote sensing, and weather and soil data
Support field teams in assessing irrigation insights and validating digital monitoring methods against field observations
Help improve dashboards and reporting by identifying missing data, inconsistencies, outliers, and opportunities to improve usability
Summarize findings and communicate practical recommendations to technical and nontechnical stakeholders

Qualifications

Required

Currently pursuing a bachelor's degree in agricultural engineering, data science, agronomy, computer science, information systems, agricultural systems technology, or a related field
Minimum 3.0 cumulative GPA

Strong interest in digital agriculture, artificial intelligence, data integration, or agricultural technology
Strong written and verbal communication skills, with the ability to work across technical and nontechnical teams
Demonstrated organization, attention to detail, critical thinking, and problem-solving skills
Ability to handle company information responsibly and follow established data, privacy, and information-security requirements

Preferred

Experience with Microsoft Excel, Power BI, or similar data-analysis and visualization tools
Basic scripting or data-analysis experience using Python, R, SQL, or a comparable language
Exposure to agricultural field operations, remote sensing, geographic information systems (GIS), irrigation, or environmental data
Familiarity with generative AI, prompt development, data curation, or evaluating AI-generated outputs

What You Will Gain

Exposure to global digital-agriculture and seed-production strategies
Practical experience supporting responsible AI use cases, knowledge preparation, and data governance
Understanding of field operations, irrigation strategies, agronomic data, and digital monitoring tools
Experience coordinating projects and communicating with regional and global stakeholders
Opportunities to strengthen data-analysis, digital-tool validation, and professional communication skills

Join Vylor to help connect agricultural knowledge, field insights, data, and emerging technology in ways that support better decisions across global seed production.

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.

Corteva announced to separate our current advanced seed and genetics business to establish a standalone company, operating as Vylor, Inc. The process of the planned separation is anticipated to be completed the fourth quarter of 2026, subject to legal requirements and board approval. Should you accept this position, it is anticipated that, following conclusion of the separation, you would be an employee of Vylor, Inc. and your employment would be governed by Vylor, Inc. employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by Vylor, Inc. at an appropriate time and subject to any necessary consultation processes.

Vylor is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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