AI Engineering Intern at Bright Machines in San Francisco, CA

Summary: Bright Machines is an innovative company focused on transforming the manufacturing industry through AI-powered robotics and intelligent automation solutions. As an AI Engineering Intern, you will contribute to the development of next-generation AI systems and work on projects involving AI-powered code generation, intelligent query agents, and robotics simulation. 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 Required Qualifications: - 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 robotics platforms (ROS, Gazebo) is a plus - 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 Preferred Qualifications: - 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 Required Skills: Python, AI/ML frameworks, PyTorch, TensorFlow, Hugging Face, Robotics platforms, ROS, Gazebo, Large language models, Prompt engineering, AI agent development, Data analysis, Machine learning model development, Visualization, LLM fine-tuning, CI/CD pipelines, Automated testing frameworks, DevOps practices