AI Applications Engineer (Boston)

Travel to customer sites to install, configure, and commission AI-enabled robotic cells

Own the full integration: camera placement and calibration, model deployment, I/O configuration, testing, and sign-off

Troubleshoot on-site when things don't go as planned -- you stay until it works

Train customer operators and engineers on the AI capabilities of their Standard Bots deployment

Be a trusted technical resource post-install as customers push the system into new applications

Feed real-world deployment learnings back to our engineering and product teams

Work with the broader applications and engineering teams on new feature testing, peripheral integrations, and platform expansion

Help build the internal knowledge base on AI-enabled applications -- what works, what doesn't, and why

Core Skills (Must have all or most)

Robot programming proficiency or adjacent software experience -- if you can write Python without an AI agent, you can probably program a robot having never touched one before

Prior robotics knowledge -- anything from high school robotics to professional manipulation experience; we care that you've actually worked with robots, not just read about them

Surface-level fluency in ML models and techniques -- you can have a real conversation about convolutional neural networks, object detection, and visual language models without Googling the definitions mid-sentence

Technical proficiency in an engineering environment -- you write documentation, manage your own projects, work well with a team, and don't need someone watching over your shoulder

Willingness to travel -- up to 50% domestically right now; that number will come down as we grow

Specializations (Must have at least one)

Mechanical Design -- pneumatics, camera mounts, end-of-arm tooling for manipulators; bonus points if you've designed a gripper

Electrical Design -- custom board fabrication, general electrical knowledge for wiring relays and solenoids in automation environments

Machine Vision -- you know which cameras and lenses to use for a given application and why; you've actually deployed a vision system, not just selected one on paper

Nice to Have

Experience with collaborative robots (UR, Fanuc, KUKA, ABB, or similar)

Hands-on work with vision systems in a production or lab environment (Cognex, Basler, FLIR, or similar)

Familiarity with ROS or other robotics middleware

Background in a manufacturing or industrial automation environment

Experience at a startup -- you know what it means to build something from scratch with limited resources

The salary range for this role is $120,000 to $150,000, depending on experience.

We are open to a variety of seniority levels for this role and will build compensation packages that are commensurate with seniority and skill level.

Base salary is just one part of the overall compensation at Standard Bots.

All Full-Time Employees are eligible for Employee Stock Options.

We also offer a package of benefits including paid time off, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees.