Staples is looking to reimagine its systems and design the next generation of AI applications by developing intelligent AI systems, creating prototypes, and bringing machine learning applications to production.
Requirements
- 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.
Responsibilities
- 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.
- Optimize and automate the AI model lifecycle using MLOps/LLMOps/AgentOps best practices.
Other
- 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)
- 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.
- Excellent communication, collaboration, and problem-solving skills.
