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Engineering Full-Time
Optica Industries

Computer Vision ML / Research Engineer (US)

Optica Industries • San Francisco, CA

Company

Optica Industries

Annual salary

$180k – $245k/yr

Location

San Francisco, CA

Listed

63d ago

Experience:
4+ years
Workplace:
6 days in-office in San Francisco, flexible for the right candidate
Equity:
Competitive equity

On-site in San Francisco, CA.

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About this Role

Mission: Own the perception engine that turns stereo camera captures into accurate, auditable pile measurements.

JD: We are building a computer vision system for industrial inventory measurement using stereo cameras, depth estimation, segmentation, point clouds, calibration data, and 3D volume estimation. You will own the core CV/ML pipeline: stereo reconstruction, segmentation, point-cloud cleanup, ground-plane estimation, stitching, volume calculation, and model evaluation. This role sits at the heart of the product.

You will own: FoundationStereo/s2m2/YOLO-style model integration, 3D reconstruction quality, volume accuracy, calibration assumptions, failure-mode analysis, confidence metrics, and the path from research pipeline to production-grade measurement.

Must have: Strong Python, PyTorch, OpenCV/Open3D, 3D geometry, camera calibration, stereo/depth, point clouds, segmentation, and comfort debugging real-world sensor data.

Nice to have: CUDA, robotics perception, photogrammetry, SLAM, industrial inspection, geospatial/volumetric measurement, Modal or GPU cloud experience.

Frequently Asked Questions

How do I apply for the Computer Vision ML / Research Engineer (US) role at Optica Industries? +

Use the Apply for a referral button on this page to send us your LinkedIn and CV. If your experience fits, we'll introduce you to the recruiter filling this role. They'll email you to check you're interested, then put you forward for this job or others that suit you better. It's free.

What does this Optica Industries role pay? +

The listing gives $180k – $245k/yr.

Is this role remote? +

The listing gives the location as San Francisco, CA. 6 days in-office in San Francisco, flexible for the right candidate.

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