AI Engineering Intern
San Francisco, California
Software Engineering /
Intern /
Hybrid
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.
WHAT WE WANT TO SEE
- Pursuing a BS or MS in Computer Science, AI/ML, Robotics, Mechatronics, Electrical Engineering, or equivalent demonstrated experience in a related technical field
- Strong programming skills in Python, with experience in AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)
- Experience in data analysis, machine learning model development, and creating meaningful visualizations
- Strong communication skills and attention to detail, with the ability to explain complex AI concepts to cross-functional teams
- Examples of personal or professional projects demonstrating your approach to AI problem-solving and robotics integration
- Experience with robotics platforms (ROS, Gazebo)
- Experience with large language models, prompt engineering, and/or AI agent development
IT WOULD BE NICE IF YOU HAD
- 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
BE EMPOWERED TO CHANGE AN INDUSTRY
Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market.
Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes’ AI 50, awarded “Best AI-based Solution for Manufacturing” by AI Breakthrough, named a “Technology Pioneer” by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.
