AI Automation Engineer Intern at Pattern

Job description

Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies in the US to the top of the list. Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com , Target.com , eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email press@pattern.com . Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®. We're currently filling spots for our 2027 full-time AI Engineer summer internships at our headquarters in Lehi, Utah. In this internship you will dive into some of the toughest problems for our users and across the international e-commerce space with a goal of figuring out how to solve those problems with technology. We are accepting applications for undergraduate and graduate students. This is a full-time Summer 2027 internship that will last roughly 12 weeks and work a hybrid schedule from our office in Lehi, Utah. What is a day in the life of an AI Engineer Intern? Assist with data preprocessing, cleaning, and analysis to prepare high-quality datasets for model training. Support the development and optimization of machine learning models, including tasks like fine-tuning hyperparameters and evaluating performance. Participate in the deployment of AI solutions, collaborating with senior engineers to integrate models into production systems. Document AI experiments, code, and project workflows to ensure clear and reproducible processes. Research cutting-edge AI technologies and methodologies to contribute to the team's ongoing innovation efforts. What will I need to thrive in this role? Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field. Foundational knowledge of machine learning concepts and algorithms. Proficiency in a programming language commonly used in AI, such as Python or Java. Familiarity with at least one machine learning framework (e.g., TensorFlow, PyTorch) is preferred. Strong problem-solving, analytical, and communication skills, with an eagerness to learn and contribute in a collaborative environment. What does high performance look like? You give 100% to all tasks and projects you are given You actively comment and participate in group collaborations You will take full ownership of your projects and follow through to completion You follow through with all assignments in a timely manner What is my potential for career growth? You will work extensively with members of the AI team at Pattern. You will have the chance to learn and grow under their mentorship. The right candidate, executing at a high level, may be considered for a full-time role post internship, or an extension to continue working with the team part-time after returning to school. What is the team like? Pattern’s AI team brings experience from the world’s top tech and ecommerce companies. The team is composed of a Director of Product - AI Research & Development, Senior AI Product Managers, and AI Engineers. You will work directly and cross functionally with these team members, as well as other members of the tech teams at Pattern. What is the hiring process? Onsite technical assessment Additional interviews as needed Executive Review Offer Sounds great! What's the company culture? - Game Changers: A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes. - Data Fanatics: A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data. - Partner Obsessed: An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern. - Team of Doers: Someone who is a part of team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners. How can I stand out as an applicant? - Be prepared to talk about professional accomplishments with specific data to quantify examples - Be ready to talk about how you can add value and be the best addition to the team - Focus on mentioning how you would be partner obsessed at Pattern - Be prepared to talk about any side projects related to data and analytics Why should I work at Pattern? Pattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives. Pattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Requirements

Must-haves

This is a full-time Summer 2027 internship that will last roughly 12 weeks and work a hybrid schedule from our office in Lehi, Utah.
What is a day in the life of an AI Engineer Intern?
Assist with data preprocessing, cleaning, and analysis to prepare high-quality datasets for model training.
Support the development and optimization of machine learning models, including tasks like fine-tuning hyperparameters and evaluating performance.
Participate in the deployment of AI solutions, collaborating with senior engineers to integrate models into production systems.
Document AI experiments, code, and project workflows to ensure clear and reproducible processes.
Research cutting-edge AI technologies and methodologies to contribute to the team's ongoing innovation efforts.
What will I need to thrive in this role?
Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
Foundational knowledge of machine learning concepts and algorithms.
Proficiency in a programming language commonly used in AI, such as Python or Java.
Strong problem-solving, analytical, and communication skills, with an eagerness to learn and contribute in a collaborative environment.
What does high performance look like?
You give 100% to all tasks and projects you are given
You actively comment and participate in group collaborations
You will take full ownership of your projects and follow through to completion
You follow through with all assignments in a timely manner
What is my potential for career growth?
What is the team like?
What is the hiring process?
Onsite technical assessment
Additional interviews as needed
Executive Review

Nice-to-haves

Familiarity with at least one machine learning framework (e.g., TensorFlow, PyTorch) is preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonjava

Platform: lever
Effort: quick