Computer Vision Engineer
About the job
- At least 5 years of experience building and shipping production computer vision or machine learning systems.
- Strong experience with Python and PyTorch.
- Production experience with detection and segmentation on real-world imagery.
- Experience with aerial, satellite, drone, or comparable raster imagery.
- Strong knowledge of OpenCV and classical computer vision techniques.
- Experience with messy, domain-specific data and human-in-the-loop systems.
- Understanding of PDF internals, vector geometry, and/or document AI, or ability to learn quickly.
- Strong written and verbal English.
- Build computer vision and machine learning pipelines for engineering drawings, PDFs, aerial imagery, and satellite imagery.
- Extract information from vector and raster PDFs, including degraded or scanned drawings.
- Develop detection and segmentation models for materials and infrastructure such as asphalt, concrete, pavement, drainage, pipes, signs, guardrails, and lane markings.
- Combine information from drawings, specifications, and imagery, and identify discrepancies between sources.
- Build the machine learning infrastructure around the models, including labeling, datasets, evaluation, regression testing, confidence, and provenance.
- Work directly with domain experts to create ground truth and improve the system.
- Prioritize reliability and completeness, treating “not determinable” as preferable to a low-confidence guess.
- Experience with geospatial imagery, construction, document AI/OCR, CAD vectorization, or autonomous vehicle perception.
- 3D experience with photogrammetry, point clouds, terrain/surface models, or cut and fill.
- Experience across both document vision and aerial/geospatial computer vision.
About the company
RYZ Labs helps startups grow by providing top-tier technical talent. The company builds startups from the ground up and also supports existing startups looking to scale by supplying skilled engineers, product and design talent, and related development resources. Its approach works by connecting startups with a vetted pool of engineers and experts, enabling hiring, team augmentation, and project-based development to move ideas into working products quickly. RYZ Labs differentiates itself by offering end-to-end startup support rather than just staffing, combining startup-building experience with rapid access to senior technical teams, and a focus on helping startups achieve rapid, scalable growth. The goal is to help startups launch, grow, and succeed by assembling strong technical teams fast.
Company Size
51-200
Company Stage
N/A
Total Funding
N/A
Headquarters
Los Angeles, California
Founded
2021
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Simplify's Take
What believers are saying
- In 2026, RYZ Labs posted dozens of open roles across Argentina, Buenos Aires, and Los Angeles.
- Its March 2026 blog claims 50% faster time-to-market through founder-paced LatAm engineering.
- RYZ Labs is hiring Head of Enterprise AI Sales, signaling enterprise expansion.
What critics are saying
- RYZ Labs still relies on contract labor; retention and quality control stay brittle.
- Its 2026 job board includes many AI-trainer roles, exposing commoditization pressure.
- Binding arbitration in Los Angeles and class-action waivers increase employee and customer friction.
What makes RYZ Labs unique
- Jordan Metzner and Sam Nadler built RYZ Labs as a venture studio-plus-staffing hybrid.
- RYZ Labs pairs startup incubation with LatAm engineering, design, data, and AI talent.
- Since 2022, RYZ Labs launched HipTrain and Offsiteio before outside investment.
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Benefits
- Remote Work Options