RETHINK MANUFACTURING

The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers’ unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.
Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to create the factory of the future, we’d love to speak with you.

ABOUT THE ROLE

At Bright Machines, we are transforming the future of manufacturing with intelligent, software-driven automation. Our applications help designers create products that are optimized for automated assembly, making factories more efficient and effective.
As an AI Engineering Intern at Bright Machines, you will be a critical hands-on contributor to the development of next-generation AI-powered robotics systems and intelligent automation solutions. As a member of our AI Engineering team, you will help design, implement, and validate cutting-edge AI solutions that bridge the gap between large language models and physical robotics.
You will function as a T-shaped engineer, with deep expertise in AI/ML technologies and a broad understanding of robotics software, electrical, or mechanical systems. If you’re ready to apply exceptional AI engineering practices and help build intelligent automation that will define the future of manufacturing, this is your opportunity to “Be Bright.”

WHAT YOU WILL BE DOING

• AI-Powered Code Generation & Development: Work with team members to develop and fine-tune LLMs for code generation, creating developer-specific agents that enhance productivity using tools like Cursor, GitHub Copilot, and custom AI assistants.
• Intelligent Query Agents & Dashboard Generation: Design and implement AI agents that can automatically generate dashboards and visualizations from complex data queries, improving decision-making capabilities across manufacturing operations.
• CI/CD Automation & Testing: Develop AI-driven testing frameworks that increase code coverage through intelligent mock testing, automated test case generation, and continuous integration optimization.
• Robotics Simulation & AI Embodiment: Create and validate AI-powered simulations of physical robot environments, enabling safe testing and optimization of robotic workflows before deployment in real-world scenarios.
• ROS Workflow Automation: Design intelligent automation workflows in ROS (Robot Operating System) that leverage LLMs for task planning, error handling, and adaptive behavior generation.
• LLM Fine-tuning & Customization: Fine-tune existing language models for domain-specific applications in robotics and manufacturing, improving their ability to understand and execute complex technical tasks.