Machine Learning Engineer Intern

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 Internship experience is an opportunity to help drive business results in an environment designed to promote and reward diversity, innovation and leadership. 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 May 26, 2026, through August 14, 2026. 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 12 week Internship 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

Duties & Responsibilities

The Machine Learning Engineering team is responsible for assisting our Data Scientists, Data Engineers, and MLOps Engineers in deploying and scaling machine learning algorithms, while developing novel approaches to personalization and recommender systems. This position plays a pivotal role in a fast-growing, globally focused network of data scientists, machine learning engineers, and AI practitioners, working to improve product discovery, increase conversion rates, and boost customer engagement. You will also analyze large-scale behavioral and transactional data to evaluate model performance, uncover insights, and support continuous algorithmic improvement.

The ML Engineering intern will be building new components to support deploying models to production. Build additional components for the models such as frameworks for chat bot, model evaluation, Model Explanation, Drift Detection and outlier detection.

Qualifications

• Working towards a Master's degree in Computer Science, Data Science, AI focus preferred

• Python

• Data analysis

• Communication skills

• Ability to tell a story using data

• Familiarity with API

• Microsoft office

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