AI​/ML Engineer Co-op

Introduction

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands – Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Get an insider view of the fast-changing grocery retail industry while developing relevant business, technical and leadership skills geared towards enhancing your career. This paid Co-op experience is an opportunity to help drive business results in an environment designed to promote and reward diversity, innovation and leadership. Our mission is to create impactful early talent programs that provide cohorts with meaningful project work, learning and development sessions, and mentorship opportunities.

Applicants must be currently enrolled in a Bachelor's or Master's degree program. Applicants must be currently authorized to work in the United States on a full-time basis and be available from January 19, 2027 through June 4, 2027. We have a hybrid work environment that requires a minimum of three days a week in the office. Please submit your resume including your cumulative GPA.

Transcripts may be requested at a future date.

• Approximate 6-month Co-op session with competitive pay.
• Impactful project work to develop your skills/knowledge.
• Career assistance & mentoring in obtaining full-time positions within ADUSA.
• Leadership speaker sessions and development activities.
• One-on-one mentoring in your area of interest.
• Involvement in group community service events.
• Networking and professional engagement opportunities.
• Access to online career development tools and resources.
• Opportunity to present project work to company leaders and gain executive visibility.

• The AI team at ADUSA is focused on building advanced personalization and recommendation systems to improve the digital grocery shopping experience for millions of customers.
• We specialize in hyper-personalization, leveraging artificial intelligence, machine learning, natural language processing, and graph-based modeling to generate actionable insights.
• Our work powers business decisions across e-commerce, marketing, and customer engagement, driving both innovation and measurable growth.
• We also develop, deploy, monitor, and maintain model training pipelines and microservice APIs that support scalable model inferencing in production.

• Currently enrolled in a Master's program in Data Science, AI, Computer Science, Statistics, or a related field.
• Strong programming skills in Python with coursework or projects in data science/AI.
• Strong problem-solving skills, intellectual curiosity, and ability to communicate technical results.
• Familiarity with machine learning concepts, natural language processing, Generative AI, and large language models (LLMs).
• Understanding Agentic AI concepts, including AI agents, multi-step workflows, tool usage, and orchestration patterns.
• Knowledge of recommendation systems, personalization techniques, ranking models, and customer/product relevance modeling.
• Strong understanding of deep learning concepts and transformer-based architectures, including when and how to apply them to practical AI use cases.
• Ability to implement, evaluate, and tune classical machine learning models such as XGBoost, Random Forest, gradient boosting, regression models, and other standard ML techniques for real-world business problems.

ME/NC/PA/SC Salary Range: $20.90 - $35.70

IL/MA/MD Salary Range: $22.80 - $37.30