Develop and optimize 3D computer vision components, including triangulation, bundle adjustment, and camera calibration, and integrate them into the GenWeb3D stack.
Design and implement 3D point and sparse patch tracking systems from video data.
Integrate deep learning models into classical vision workflows, including lightweight neural modules that accelerate 3D inference.
Own large problems end to end across the stack, building a multi-agent orchestration SDK and CAD conversion pipeline.
Develop 3D-to-3D search across real customer part libraries and integrate constraint solvers with AI agents.
Address open problems in geometry reasoning and deploy hybrid cloud solutions for manufacturers.
3ive builds an AI co-engineer for physical products that works natively in 3D and learns from engineering decisions. The company is in production with major European manufacturers and has real revenue and customers.
Deliver end-to-end computer vision projects for power grid defect detection, thermal anomalies, vegetation monitoring, and surveillance.
Advance ML research by implementing novel algorithms from papers and conducting systematic experiments for production viability.
Develop production-grade Python libraries and pipelines covering the full ML lifecycle from data ingestion to model serving.
Buzz uses AI to analyze and maintain power grid infrastructure for enhanced safety and efficiency. The team is composed of experienced ML engineers working in a collaborative, autonomous environment.
Build a 3D viewer inside the HUNTR application that renders pipeline outputs as 3D Tiles in the browser.
Integrate the viewer into the end-to-end workflow so 3D results appear next to imagery and detections without a download step.
Design the interaction model for operational use, including navigation, inspection, and orientation between 3D and 2D views.
HUNTR provides infrastructure that lets governments and enterprises build, deploy, and operate visual models from satellite and drone imagery. Founded in 2020, the company has secured $35 million in Series A funding from top US and European investors and fosters a strong technical culture.
Design, develop, and deploy production ML models for ego-motion estimation and localization using camera, LiDAR, and radar.
Develop scalable training and evaluation workflows with PyTorch and large-scale real-world datasets.
Collaborate with cross-functional teams and provide technical leadership in design reviews and mentoring.
Torc develops autonomous vehicle software for automated trucks, aiming to transform freight movement. As part of the Daimler family, they have a collaborative, energetic, and team-focused culture with competitive benefits.
Evaluate and annotate 3D meshes, GLB files, 2D images, and video assets for model training.
Recognize mesh quality and detect geometry defects, topology errors, and scene inconsistencies.
Requires hands-on 3D modeling experience in Blender or Maya and upper-intermediate English proficiency.
Mindy Support provides data annotation and outsourcing services for AI and machine learning projects. The company operates with a global remote team and focuses on quality and precision in 3D content evaluation.
Design, build, and ship custom internal AI tooling, agents, and workflows for autonomy and research.
Integrate and extend third-party AI tools and evaluate new AI models with structured pilots.
Partner with cross-functional teams to prototype solutions and drive adoption of AI tools.
Waabi is a leader in Physical AI, founded by AI visionary Raquel Urtasun. The company is growing quickly with offices in Toronto, San Francisco, Dallas, and Pittsburgh, and seeks diverse, innovative candidates.