Duties & Responsibilities:

-Build a functional prototype of a mobile warehouse utility app designed to instantly count stacked warehouse supplies using on-device artificial intelligence.

• Train a lightweight, commercially viable custom object detection model (using frameworks like YOLOv8, YOLOv11, YOLO-NAS, or YOLOX) to recognize pallets, top frames, and layer pads across varying lighting conditions and angles.
• Prepare and organize data by setting up a lightweight annotating workflow (e.g., Roboflow or CVAT) to label a dataset of 300–500 images of inventory.
• Export and optimize the trained model (via CoreML or TensorFlow Lite) to ensure it can run locally and offline inside the mobile application.
• Build a simple, clean user interface (UI) that integrates the model to display real-time counting overlays and bounding boxes on a live camera feed or uploaded photo.
• Co-work directly with one of the company owners to develop, iterate, and test the prototype.

Skills and Knowledge preferred:

• Solid foundations and strong skills in Python for training pipelines.
• Experience with computer vision libraries (OpenCV, PyTorch, or TensorFlow) and 1+ years of experience working with the YOLO architecture.
• Proven experience embedding machine learning models onto edge devices, with knowledge of leveraging hardware acceleration (Apple Neural Engine, GPU) highly preferred.
• Proficiency in mobile frameworks (Dart/Flutter, JavaScript/React Native, Swift, or Kotlin).
• Familiarity with data annotation, augmentation, and model optimization.

Job Requirements:

• Authorization to work within the United States.
• A problem solver capable of working independently and researching deployment bugs.
• Candidates must provide a portfolio or GitHub link demonstrating past projects where an object detection model was successfully trained and deployed to production or an edge device (webcam, phone, Raspberry Pi, etc.)

Compensation & Hours:

Start Date: Available immediately.

Project work - estimated 4 to 8 weeks, once complete, opportunity to take on additional project.

We are seeking applicants based in the Adairsville area who are available for frequent onsite collaboration. This role requires regular travel between our plant in Adairsville for team co-working and hands-on prototype testing. Ideal candidates must reside within a reasonable commuting area.

Hourly Wage: $30-55/hr based on experience.

Completion Bonus: A $5,000 bonus (based off completion)

Pay: $30.00 - $50.00 per hour

Expected hours: 40.0 per week

Benefits:

Flexible schedule

Work Location: Hybrid remote in Fort Atkinson, WI 53538

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