This internship is ideal for an ambitious student passionate about artificial intelligence, machine learning, and applying GenAI techniques to solve complex industrial problems.What we offer:Career DevelopmentCompetitive Compensation and Benefits Pay Transparency Global Opportunities
Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer
Dematic 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.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The hourly pay range for this role is estimated to be $19-$23 per hour at the time of the posting. Final compensation will be determined by various factors such as work location, student classification/year of study, experience, knowledge, and skills.
Tasks and Qualifications:Key Responsibilities:
Assist in building and testing agentic frameworks that interact with real-world warehouse datasetsDevelop and prompt large language models (LLMs) or multimodal agents to perform specific warehouse automation tasksCreate tools and workflows to orchestrate multi-agent decision making, task planning, and executionDesign and implement integration of AI agents into broader system architectures, collaborating with platform, infrastructure, and other software engineers to ensure seamless deploymentBasic Qualifications:
Currently enrolled in a Bachelor’s, Master’s, or PhD program in Computer Science, Artificial Intelligence, Robotics, Engineering, or a related fieldHands-on experience with Python and at least one AI/ML library such as PyTorch or TensorFlowFamiliarity with prompt engineering and use of frameworks such as LangChain, Hugging Face, or retrieval-augmented generation (RAG) systemsUnderstanding of basic reinforcement learning, planning algorithms, or agent-based modelingCuriosity, creativity, and a strong desire to apply AI to industrial use casesPreferred Qualifications:
Experience using GenAI tools such as OpenAI, Gemini, Claude, or open-source LLMsExposure to simulation environments like OpenAI Gym, Unity, Isaac Sim, or NVIDIA OmniverseFamiliarity with cloud environments (GCP, Azure, or AWS)Prior coursework or research in agentic systems, computer vision, or digital twinsWhy Join Us:
Work on cutting-edge AI projects that impact real-world warehouse automationJoin a fast-paced, collaborative AI team in the heart of Atlanta’s innovation hubLearn from experienced AI engineers and contribute meaningfully to internal innovationsGain exposure to GenAI tools and enterprise deployment practicesCompetitive internship compensation and potential for return opportunities