AI Engineering Intern

Bright Machines • San Francisco, CA

19h

About The Position

At Bright Machines, we are innovators creating a new category of manufacturing through intelligent automation, applying software and data to solve customer challenges and deliver flexible, scalable, and resilient factories. As an AI Engineering Intern, you will be a critical hands-on contributor to the development of next-generation AI-powered robotics systems and intelligent automation solutions. You will help design, implement, and validate cutting-edge AI solutions that bridge large language models and physical robotics. This role requires deep expertise in AI/ML technologies and a broad understanding of robotics software, electrical, or mechanical systems, functioning as a T-shaped engineer. This is an opportunity to apply exceptional AI engineering practices to build intelligent automation that will define the future of manufacturing.

Requirements

• Pursuing a BS/MS in Computer Science, AI/ML, Robotics, Mechatronics, Electrical Engineering, or demonstrated equivalency in related technical fields
• Strong programming skills in Python, with experience in AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)
• Experience with large language models, prompt engineering, and/or AI agent development
• Strong communication skills and attention to process detail, with the ability to explain complex AI concepts to cross-functional teams
• Experience in data analysis, machine learning model development, and creating meaningful visualizations
• Examples of personal or professional projects demonstrating your approach to AI problem-solving and robotics integration

Nice To Haves

• Experience with robotics platforms (ROS, Gazebo) is a plus
• Experience with LLM fine-tuning techniques and tools (LoRA, QLoRA, PEFT)
• Familiarity with modern AI development tools (Cursor, GitHub Copilot, Claude, GPT-4)
• Experience in developing AI agents, chatbots, or autonomous systems
• Basic experience in motion planning, controls, and robot programming
• Design team experience (Formula SAE, robotics clubs, AI hackathons, etc.)
• Experience with simulation environments (Gazebo, Unity, Unreal Engine) for robotics testing
• Knowledge of CI/CD pipelines, automated testing frameworks, and DevOps practices
• Experience with metrology, kinematics, and precision mechanisms in manufacturing contexts

Responsibilities

• 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.
• Design and implement AI agents that can automatically generate dashboards and visualizations from complex data queries, improving decision-making capabilities across manufacturing operations.
• Develop AI-driven testing frameworks that increase code coverage through intelligent mock testing, automated test case generation, and continuous integration optimization.
• Create and validate AI-powered simulations of physical robot environments, enabling safe testing and optimization of robotic workflows before deployment in real-world scenarios.
• Design intelligent automation workflows in ROS (Robot Operating System) that leverage LLMs for task planning, error handling, and adaptive behavior generation.
• Fine-tune existing language models for domain-specific applications in robotics and manufacturing, improving their ability to understand and execute complex technical tasks.

What This Job Offers

• Career Level: Intern
• Number of Employees: 101-250 employees