AI Engineering Intern
TLDR
This internship offers a unique opportunity to work at the intersection of cutting-edge AI technologies and industrial robotics, contributing to real-world automation challenges.
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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.
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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.
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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.
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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.
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ROS Workflow Automation: Design intelligent automation workflows in ROS (Robot Operating System) that leverage LLMs for task planning, error handling, and adaptive behavior generation.
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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.
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Pursuing a BS/MS in Computer Science, AI/ML, Robotics, Mechatronics, Electrical Engineering, or demonstrated equivalency in related technical fields
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Strong programming skills in Python, with experience in AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)
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Experience with robotics platforms (ROS, Gazebo) is a plus
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Experience with large language models, prompt engineering, and/or AI agent development
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Strong communication skills and attention to process detail, with the ability to explain complex AI concepts to cross-functional teams
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Experience in data analysis, machine learning model development, and creating meaningful visualizations
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Examples of personal or professional projects demonstrating your approach to AI problem-solving and robotics integration
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Experience with LLM fine-tuning techniques and tools (LoRA, QLoRA, PEFT)
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Familiarity with modern AI development tools (Cursor, GitHub Copilot, Claude, GPT-4)
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Experience in developing AI agents, chatbots, or autonomous systems
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Basic experience in motion planning, controls, and robot programming
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Design team experience (Formula SAE, robotics clubs, AI hackathons, etc.)
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Experience with simulation environments (Gazebo, Unity, Unreal Engine) for robotics testing
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Knowledge of CI/CD pipelines, automated testing frameworks, and DevOps practices
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Experience with metrology, kinematics, and precision mechanisms in manufacturing contexts
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You are customer obsessed
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You believe in the power of a team, diversity of thought, and unity of action
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You always act with integrity, keep your commitments, and practice transparency
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You think boldly, lead with courage, and demand the highest standards
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You drive for results, and act like an owner
Bright Machines is an innovative manufacturer specializing in AI-powered robotics to streamline the assembly of data center infrastructure. We cater to the needs of hyperscalers and OEMs, leveraging advanced technology to efficiently build vital hardware that fulfills the growing demand for computational power.
- Founded
- Founded 2018
- Employees
- 201-500 employees
- Industry
- Internet Software & Services
- Total raised
- $180M raised