AI Engineer Intern (Hybrid) - June 2026

Staples is business to business. You're what binds us together.

We're searching for you: fresh talent with new ideas, innovation, passion, and drive to bring to Staples. We have student and graduate opportunities where you'll help the Staples, Inc. organization be more successful and productive while building a purposeful career. Whether you are looking for a summer internship, co-op, or an entry-level role, we'll help you develop the technical and soft skills you need to thrive in the future.

This intern position requires you to be in a hybrid working model (at least 3 days in the office, and 2 days remote) based at the Staples, Inc. Corporate Headquarters in Framingham, MA.

Target Start Date:

June 1, 2026 - August 14, 2026 (11-week program)

Position Overview:

The AI Engineer Intern will join the team to help reimagine Staples' systems and design the next generation of AI applications. They will collaborate with a team of engineers to develop intelligent AI systems, create prototypes, and bring machine learning applications to production. Responsibilities include writing software leveraging data and AI tooling/frameworks, testing for quality, deploying models to the cloud, and analyzing data to build predictive models, agents, their orchestrations, and AI features. The intern will also be responsible for developing and engineering AI systems and solutions that drive innovation and improve operational efficiency. They will work closely with data scientists, ML engineers, and business stakeholders to translate business needs into robust AI solutions.

What you'll be doing:

Design, develop, test, and deploy AI models and systems using various frameworks and tools.

Research?and?Development:?Stay?abreast?of?the?latest?advancements?in?AI/GenIA,?explore?novel?applications,?and?develop?proof-of-concept?projects.

Model?Selection?and?Fine-tuning:?Select?and?fine-tune?pre-trained?GenAI?models?(e.g.,?GPTx,?LLaMa x)?for?specific?tasks,?including?text generation,?image?creation,?code?synthesis,?etc.

Data?Exploration?and?Preparation:?Prepare?and?analyze?data?sets?for?training?and?evaluation?of?GenAI?models,?ensuring?data?quality?and?addressing?potential?biases.

Experimentation?and?Evaluation:?Conduct?experiments?to?assess?the?performance?of?GenAI?models?and?compare?different?architectures?and?approaches.

Application?Integration:?Develop?and?integrate?GenAI?models?into?existing?or?new?applications,?leveraging?frameworks?like?LangChain?for?seamless?orchestration.

Collaborate?with?Cross-Functional?Teams:?Work?closely?with?data?scientists,?software?engineers,?product?managers,?and?designers?to?bring?GenAI?solutions?to?life.

Contribute?to?Knowledge?Sharing:?Document?your?findings,?share?best?practices, and contribute?to?the?team's?knowledge?base.

Monitor and evaluate the performance and accuracy of AI models and systems in production.

Identify and troubleshoot issues related to data quality, model drift, scalability, and reliability.

Optimize and automate the AI model lifecycle using MLOps/LLMOps/AgentOps best practices.

Collaborate with data scientists, ML engineers, and business stakeholders to understand the requirements and objectives of AI projects.

Research and implement new AI techniques and methodologies to improve the existing solutions and explore new opportunities.

What's needed- Basic Qualifications:

Pursuing a master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field

1+?years?of?learning/experience?in?AI/ML,?with?a?strong?focus?on?Generative?AI.

Strong?programming?skills?in?Python,?along?with?experience?in?data?manipulation libraries (e.g.,?Pandas,?NumPy).

Hands-on?experience?with?popular?GenAI?LLM models?(e.g.,?GPT-4o,?Llama, Mixtral), SLMs with Phi/Gamma/Triplex, and?frameworks?(e.g.,?LangChain,?LangGraph, Autogen, Databricks, LlamaIndex, PyTorch, and long-term memory with Mem0 or similar.

Strong experience in developing and deploying AI systems using Python, PyTorch, leveraging Databricks, Snowflake, or similar frameworks and tools.

Strong knowledge of machine learning, deep learning, natural language processing, computer vision, and other AI domains.

Experience in prompt engineering, data preprocessing, model fine-tuning, and evaluation.

Experience in using MLOps/LLMOps/AgentOps, CI/CD, cloud computing, and containerization technologies.

Excellent communication, collaboration, and problem-solving skills.

Ability to work independently and in a team environment.

Passion?for?innovation?and?a?desire?to?explore?the?frontiers?of?AI to meet business and customer objectives.

Experience?with?cloud?platforms?(Azure,?GCP)?and?their?AI/ML?services.

Familiarity?with?vector/memory stores?(e.g., Databricks, Mem0, FAISS, Qdrant, Azure Search).

Staples is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender idenity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.

For individuals with disabilities that need additional assistance at any point in the process, please call 1-888-490-4747 for more information.