We’re partnering with a fast-scaling startup in SF that is fundamentally changing how physical materials are tracked and measured using real-time 3D computer vision.
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If you're passionate about bringing SOTA 3D vision algorithms out of the research lab and into high-impact, real-world industrial environments, this role gives you full ownership over the core perception engine.
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They are looking for an experienced Senior Computer Vision / Perception ML Engineer to own the perception engine that converts raw stereo camera captures into accurate, production-grade 3D measurements for industrial applications.
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This role sits directly at the core of our tech stack. You will be responsible for taking complex research pipelines—covering stereo reconstruction, point-cloud cleanup, depth estimation, and 3D volumetric metrics—and turning them into robust, production-ready algorithms.
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What You Will Own
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The core end-to-end CV/ML pipeline: stereo reconstruction, point-cloud processing, segmentation, ground-plane estimation, stitching, and volume calculation.
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Model integration using SOTA architectures (FoundationStereo, YOLO-style models, s2m2).
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System calibration, confidence metrics, failure-mode analysis, and 3D reconstruction quality.
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Bridging the gap between prototype research and deployable, real-world sensor performance.
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What We’re Looking For
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Experience: 4+ years of hands-on experience in computer vision, robotics perception, or ML engineering.
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3D Vision Focus: Deep expertise in 3D geometry, camera calibration, stereo/depth estimation, point clouds, and segmentation.
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Core Tech Stack: Proficient in Python, PyTorch, OpenCV, and Open3D.
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Real-World Engineering: Proven track record of debugging noisy sensor data and shipping CV systems in real-world environments.
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Education: MS or PhD in Computer Vision, Robotics, or a related field preferred.
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Nice-to-Haves
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Hands-on experience with CUDA, SLAM, photogrammetry, or geospatial/volumetric measurement.
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Experience with cloud GPU infrastructure (e.g., Modal).
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Prior perception experience in robotics, autonomous vehicles, or industrial inspection.
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Numbers & Facts
Location
Mundelein, IL
Skills
Algorithmsunmatched
CUDA (Compute Unified Device Architecture)unmatched
Calibrationunmatched
Cloud Computingunmatched
Computer Skillsunmatched
Computer Visionunmatched
Debugging Skillsunmatched
Failure Analysisunmatched
GPU (Graphics Processing Unit)unmatched
Geometryunmatched
Metricsunmatched
Photogrammetryunmatched
Prototypingunmatched
Python Programming/Scripting Languageunmatched
Research Laboratoryunmatched
Roboticsunmatched
Startupunmatched
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