
Senior/VP AI/ML Engineer for video analysis
6 days ago
Senior Computer Vision Engineer - Scalable Video Intelligence Systems
Location: Tel-Aviv / Israel (On-site)
Type: Full-time
Seniority: Senior / VP / Team leader
The Mission
We're building AI systems that watch the real world at scale - intelligently, securely, and fast. This is not just another CV startup. We're working with real-time video at the edge, deploying state-of-the-art vision models across distributed environments, and pushing the boundaries of what LLMs + VLMs can do when they meet massive, high-frequency sensor data.
We are backed by the world's highest-profile VCs, and accepted into the hardest-to-get-into startup program in the world.
What You'll Do
• Implement high-throughput, low-latency inference pipelines using tools like TensorRT, DeepStream, or custom CUDA kernels.
• Integrate distributed and redundant CV systems in multi-tenant, secure environments - where failover, logging, and observability matter.
• Architect and deploy real-time video analytics systems across edge/on-prem environments - including camera ingestion, inference pipelines, and smart alerting.
• Develop internal tools for video search and semantic indexing, and real-time event tagging over massive, continuous video streams.
• Collaborate with infrastructure engineers, security specialists, and applied AI researchers to ship scalable, production-grade systems.
The Perfect Candidate
• Thrives in high-pressure, high-demand environments like startups
• Can build the remaining parts of the plane in mid-flight
• Obsessed with stability, latency, and observability at scale.
• Has designed and architected surveillance-grade CV systems capable of managing thousands of concurrent video streams across on-prem and edge nodes.
• Built systems combining different AI/CV pipelines, LLMs and VLMs, for real-time data processing
• Thinks like a systems engineer, executes like a hacker, and debugs like a surgeon.
Tech Stack & Environment
Languages: Python, CUDA
Frameworks: PyTorch, TensorFlow, OpenCV, MMDetection, Detectron2
Tooling: TensorRT, DeepStream, ONNX, Triton Inference Server, Weights & Biases
Infra: Kubernetes, Docker, gRPC, Kafka, Redis, NVIDIA Jetson/Orin, edge compute
Storage & Indexing: Chroma, FAISS, Milvus
Bonus Points For:
Experience in multi-camera synchronization, thermal/IR models, or video anomaly detection
Building CV/ML systems for regulated industries (e.g. defense, smart cities, industrial monitoring)
Contributions to open-source AI projects (or publications in CVPR, ECCV, NeurIPS)
Understanding of security/zero-trust principles in sensitive deployments
What you'll get
· Competitive salary
· Equity plans with growth-tied upside compensation
· Benefits aligned with location
· Work on breakthrough, world's-first technology that impacts millions of lives
· Quick start and hiring process
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