AI Engineering Intern
- Brightmachines
- San Francisco, California
- 1mo ago
- Internship
- On-site
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."
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.
Note: You don't need to have all of these qualifications, but most would be beneficial.
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
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
You are customer obsessed
You believe in the power of a team, diversity of thought, and unity of action
You always act with integrity, keep your commitments, and practice transparency
You think boldly, lead with courage, and demand the highest standards
You drive for results, and act like an owner