AI Applications Engineer (Glen Cove, NY)

Standard Bots•Glen Cove, NY

1d•$120,000 - $150,000•Onsite

About The Position

The AI Applications Engineer sits at the intersection of robotics, AI, and hands-on field work. This role is a mechanical + electrical + software trifecta that uses AI as a tool, with the factory floor as the primary office. The engineer will work closely with sales, software, and applications engineering teams to scope AI-enabled solutions, build proofs of concept, and travel to customer sites for installation and commissioning. This is a builder's role for individuals who enjoy tinkering and are not suited for desk-bound work. The role requires up to 50% domestic travel, which is expected to decrease as the team grows.

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, project management, and teamwork.
Willingness to travel up to 50% domestically.
Mechanical Design specialization (pneumatics, camera mounts, end-of-arm tooling for manipulators; gripper design is a plus).
Electrical Design specialization (custom board fabrication, wiring relays and solenoids in automation environments).
Machine Vision specialization (knowledge of cameras and lenses for specific applications, experience deploying vision systems).

Nice To Haves

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.

Responsibilities

Work with customers and the sales team to identify where AI (computer vision, object detection, visual language models) can create leverage in their production process.
Design and build proofs of concept to validate solutions before customer commitment.
Develop documentation, sample code, and integration guides for customers and internal teams.
Travel to customer sites to install, configure, and commission AI-enabled robotic cells.
Own the full integration process, including camera placement and calibration, model deployment, I/O configuration, and testing.
Troubleshoot on-site issues until resolution.
Train customer operators and engineers on the AI capabilities of their Standard Bots deployment.
Serve as a technical resource for customers post-installation.
Provide feedback from real-world deployments 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.