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# Principal Machine Learning Scientist

- **Company:** ONE STOP COLLECTIBLE CORP
- **Location:** Pittsburgh, PA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Optical Character Recognition (OCR), Computer Vision, General-Purpose Computing on Graphics Processing Units, Python (Programming Language), Machine Learning, Object Detection, OpenCV, Tensorflow, Pytorch, Model Validation, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, TensorRT
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/principal-machine-learning-scientist-gather-ai-7833650

## About the Role

* 10+ years of experience in machine learning or computer vision
 * Deep expertise in CNNs, object detection, image segmentation, and OCR using PyTorch (preferred) or TensorFlow
 * Strong Python proficiency and software engineering fundamentals; hands-on experience with OpenCV and GPU computing
 * Track record of delivering production ML systems at scale, including model training, evaluation, and deployment
 * MS or PhD in Computer Science, Machine Learning, Robotics, or a related field

Nice to Have

 * Experience with drone, robotics, or autonomous systems perception
 * Publications in top vision or robotics conferences (CVPR, ICCV, ICRA, NeurIPS, CoRL)
 * Experience designing and deploying models for real-time inference on constrained compute platforms
 * Warehouse, logistics, or supply chain domain experience

## Description

We are looking for a Principal Machine Learning Scientist to advance the state of our computer vision systems for warehouse inventory scanning. You will work across the full ML lifecycle - from research and model architecture through training, deployment, and production monitoring - with a focus on delivering measurable improvements to detection, segmentation, and OCR accuracy across our drone and MHE Vision products.

This role is ideal for a senior ML practitioner who wants principal-level impact on a core product, a variety of deployment targets (cloud, on-prem, embedded), and real-world data with tangible business outcomes.

What You'll Do

 * Advance core computer vision model performance (object detection, segmentation, OCR) for warehouse inventory scanning across drone and MHE Vision platforms
 * Own the full ML lifecycle from research and experiment design through production deployment and monitoring - applying rigorous ablation studies and SOTA methodology
 * Collaborate with the ML infrastructure team on model optimization and deployment across cloud and edge inference targets (ONNX, TensorRT, quantization)
 * Work with Operations and Product to understand customer needs and translate them into ML improvements with measurable business impact
 * Provide technical leadership and mentorship to the ML team, raising standards for experiment design, model evaluation, and production readiness
 * Explore next-generation perception capabilities, including embedded and on-prem inference optimization for new deployment targets


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