Computer Vision Engineer

Company Description

At Dynamic Infrastructure, we redefine how civil infrastructure is understood and maintained. By analyzing visual and textual inspection data, we generate reliable, objective insights into the condition and evolution of bridges, culverts, and other critical assets.

We work with real-world data at scale, building systems that directly improve safety and operational efficiency for asset owners worldwide. Our team combines scientific depth with engineering excellence and moves quickly to turn ideas into working systems.

This position is based in Emek Hefer.

Job Description

We are looking for a Computer Vision Research Engineer to drive innovation across our core technology stack. This role spans research, prototyping, and production delivery. You will work as a part of a small team which is deeply technical and research-oriented.

You will work on high‑impact initiatives across computer vision, NLP, GenAI and emerging areas such as reasoning agents, retrieval‑augmented pipelines, and multimodal foundation models. 

What you will do:

● Work on applied research and development across CV, GenAI, NLP, and agent‑based systems, from exploration to production delivery.

● Work as an integral part of a high-performing, cross-functional team: contributing ideas, sharing expertise, and building solutions collaboratively across disciplines.

● Build prototypes that demonstrate technical and product value, then drive their transition into production‑grade services.

● Apply recent advances such as vision-language models, foundation models, and generative techniques to solve real-world infrastructure challenges.

● Work on the entire lifecycle of research efforts, from framing ambiguous problems to scalable solutions.

● Collaborate closely with engineering and product to ensure seamless integration and measurable impact.

Qualifications

● 2+ years of cumulative experience in computer vision - must.

● Proven ability to work on the full data science lifecycle, from exploration to deployment.

● Strong background in vision models, transformers, or multimodal systems.

● Experience with GenAI systems.

● Proficient in Python and modern ML frameworks.

● Experience deploying and managing ML solutions in cloud environments (AWS, GCP, or Azure), including containerization (Docker/Kubernetes) and MLOps.

● Committed to maintaining high technical standards and ability to write production-ready code.

● MSc or PhD in Computer Science, Engineering, or a related field.

● Advantage: Publications and talks at leading conferences.

● Advantage: experience with civil infrastructure.

● We understand that no candidate will be perfectly suited to every qualification listed. Therefore, if you meet a majority of the criteria and are enthusiastic about the role, we encourage you to apply.

Why Join Us

● Push the boundaries of applied AI in a real-world, high-stakes domain.

● Own and deliver impactful innovation across research and product.

● Work in a lean, fast-moving environment with experienced engineers and researchers.

● Shape the future of infrastructure intelligence using state-of-the-art ML.

● Be part of a mission-driven team building technology that matters.