Director of Machine Learning

🕒 March 3

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Gather AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

🤖 Artificial Intelligence

🚗 Transport

🔧 Hardware

💰 $10M Series A on 2022-10

Artificial Intelligence • Transport • Hardware

Gather AI is a company specializing in automated inventory monitoring solutions using AI-powered drones. They enhance supply chain visibility and warehouse efficiency by offering real-time inventory intelligence, significantly reducing human error and inventory shrinkage. Their autonomous drones facilitate automated data collection and analysis, enabling fast and effective decision-making with increased productivity and accuracy. Gather AI serves industries such as 3PL, manufacturing, retail, and food and beverage, providing a modern approach to warehouse management through innovative technology.

📋 Description

• Define and own the ML strategy and technical roadmap for Gather AI, aligned with product and business objectives • Lead and grow the Machine Learning and FPT teams, establishing a culture of rigor, experimentation, and production-quality delivery • Drive improvements to core computer vision models (object detection, segmentation, OCR) used across our drone and MHE Vision products • Build out MLOps infrastructure — model training pipelines, deployment, monitoring, and CI/CD for ML workloads • Collaborate with the Director of Cloud Engineering and Director of Autonomy to ensure ML systems integrate seamlessly into the broader platform • Partner with Product and Operations to translate customer needs into ML-driven product capabilities

🎯 Requirements

• 10+ years building and scaling production ML or computer vision systems • 5+ years managing and growing ML engineering teams • Deep expertise in computer vision: object detection, image segmentation, OCR, and CNN architectures • Strong Python and PyTorch (or TensorFlow) proficiency, plus a track record of shipping ML models to production at scale • MS or PhD in Computer Science, Machine Learning, or a related field (strong industry track record considered in lieu of advanced degree)