
Building Spatial AI for commerce. Tracking every product in every store realtime using passive associate Smartbadges.

Building Spatial AI for commerce. Tracking every product in every store realtime using passive associate Smartbadges.
What they do: Spatial AI + passive SmartBadge for real-time in-store product tracking and workforce augmentation
Headquarters: Seattle, Washington
Founder / CEO: Ross Finman
Employee count (snapshot): 26
Notable funding: Seed $5.3M (Oct 2024, lead: Lerer Hippeau); Series A announced Jul 2025 (lead: TQ Ventures)
Retail operations, in-store inventory accuracy, planogram compliance, and workforce tasking
Retail technology / Spatial AI
$5.3M
“Participating investors across rounds include Lerer Hippeau, Simple Food Ventures, New Fare, dunnhumby Ventures, TQ Ventures, WIN, Jefferson River Capital, Interlace Ventures, Arena Holdings”
Augmodo is at the forefront of spatial computing, where mapping connects the digital and physical worlds. As a Computer Vision Engineer, you will play a key role in our computer vision team in deploying and developing state-of-the-art algorithms and pipelines for localization, mapping, and detection. * As ML Data Scientist you will own and curate massive data sets for computer vision and classification. * Manage optimization problems for state-of-the-art algorithms and pipelines for localization, mapping, and detection. * Build, fine-tune and implement AI and machine learning models to solve challenging problems, including identification and classification * Ensure machine learning production pipelines are scalable and robust * Collect, clean, manage, analyze and visualize massive data sets using multiple data platforms, tools and techniques * Optimize and fine-tune AI-driven spatial models for performance and scalability. Analyze and interpret data to extract meaningful insights and improve AI models. * Bachelor or Master's in Computer Science, Robotics, or a related field. * 5 years of experience in data science or related roles * Strong expertise in deep learning, fluent in Python and SQL * Expertise in automating machine learning models and building end to end products * Experience with devops tools such as Git, CI/CD, and/or Docker * Master's degree or PhD in Computer Science or a related technical field. * Experience optimizing large scale data systems for real-time systems on embedded or robotic platforms. * Excellent problem-solving, debugging, communication, and mentoring skills. $155,000 - $210,000 USD + Equity