• 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.

• 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.

• 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.

• 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.

Legal Disclaimer: Ahold Delhaize USA is an equal opportunity employer. view full text Under the Federal Transparency in Coverage rule, group health plans are required to make publicly available machine-readable files that include in-network rates and out-of-network allowed amounts and billed charges. Click here to view the in-network rates and out-of-network allowed amounts and billed charges for health benefits offered by Ahold Delhaize USA. Our employees and prospective employees are treated with respect and dignity. As an equal opportunity employer, we comply with all applicable federal, state and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status or any other characteristic protected by law. We provide reasonable accommodations to applicants and employees with disabilities. If you have a disability and require assistance in the application process, please contact our Talent Acquisition Department at tad@adusa.com. view full text