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About the Role
The AI Applications Engineer sits at the intersection of robotics, AI, and hands-on field work. You will look at a manufacturing challenge, figure out how computer vision or a language model makes the robot smarter, and then build and deploy the solution. You will work closely with sales, software, and applications engineering teams to scope AI-enabled solutions, build proofs of concept, and travel to customer sites to install and commission them. You will own your projects end-to-end, from initial design through field deployment and customer training. This is a builder's role for tinkerers who get bored at a desk.
Responsibilities
- Work with customers and the sales team to identify where AI creates leverage in their production process.
- Design and build proofs of concept to validate solutions.
- Develop documentation, sample code, and integration guides.
- Travel to customer sites to install, configure, and commission AI-enabled robotic cells.
- Own the full integration, including camera placement, calibration, model deployment, I/O configuration, testing, and sign-off.
- Troubleshoot on-site issues until resolution.
- Train customer operators and engineers on AI capabilities.
- Serve as a technical resource post-install for new applications.
- Provide feedback on real-world deployment learnings to engineering and product teams.
- Collaborate with applications and engineering teams on new feature testing, peripheral integrations, and platform expansion.
- Contribute to the internal knowledge base on AI-enabled applications.
Requirements
- Robot programming proficiency or adjacent software experience (e.g., Python).
- Prior robotics knowledge (e.g., high school robotics, professional manipulation experience).
- Surface-level fluency in ML models and techniques (e.g., convolutional neural networks, object detection, visual language models).
- Technical proficiency in an engineering environment, including documentation and project management.
- Willingness to travel up to 50% domestically.
- Mechanical Design skills (pneumatics, camera mounts, end-of-arm tooling) are a plus.
- Electrical Design skills (custom board fabrication, wiring relays and solenoids) are a plus.
- Machine Vision experience (camera/lens selection, deploying vision systems) is a plus.
- Experience with collaborative robots (UR, Fanuc, KUKA, ABB, or similar) is a plus.
- Hands-on work with vision systems (Cognex, Basler, FLIR, or similar) is a plus.
- Familiarity with ROS or other robotics middleware is a plus.
- Background in a manufacturing or industrial automation environment is a plus.
- Experience at a startup is a plus.
Skills
- AI
- Robotics
- Computer Vision
- Language Models
- Python
- ML Models
- Convolutional Neural Networks
- Object Detection
- Visual Language Models
- Project Management
- Mechanical Design
- Electrical Design
- Machine Vision
- ROS
Location
- Domestic
Work Type
- Full-Time
- Onsite
Experience Level
- Commensurate with seniority and skill level
Salary/Compensations
- $120,000 to $150,000
Benefits
- Paid time off
- Medical/dental/vision insurance
- Life insurance
- Disability insurance
- 401(k)
- Employee Stock Options
About the Company
- Standard Bots is building the next generation of industrial robots that are powerful, affordable, and designed to scale.
- We are the largest U.S. industrial robotics company by robots shipped.
- Our robots are used in factories ranging from independent machine shops to NASA and Lockheed Martin.