Computer vision & AI Researcher

Computer Vision Researcher (AI/CV/LLM Focus)

Location: Hybrid (Israel-based preferred)

Job Type: Part-Time / Flexible (with potential for full-time)

Overview

Argu is building a new way to understand video. 

We’re looking for a curious, driven Computer Vision Researcher to join our core R&D efforts.

This role blends hands-on research with deep-tech product development, combining machine vision, generative AI, and LLMs.

Perfect for advanced students (M.Sc. or Ph.D. candidates) or AI researchers eager to dive into real-world applications and make an impact fast.

What You’ll Do

Research:

·        Read, distill, and apply academic and industry research (CVPR, ICCV, NeurIPS, arXiv)

·        Research and prototype new ways to connect vision models with LLMs.

·        Contribute to IP, publications, research papers, and internal innovation.

·        Collaborate with our founding tech team to take ideas from paper to product.

·        Analyze and benchmark zero-shot, few-shot, and open-vocabulary detection methods

Building:

·        Build tools for semantic video search

·        Develop object grounding, re-identification, and NLP-related CV technologies.

·        Experiment with vision-language models, embeddings, and generative CV.

·        Run benchmarks and test ideas in real-world environments, on real-world data.

Requirements

·        6+ years of background in computer vision, ML, AI, & multimodal learning

·        Hands-on experience with generative AI, LLMs, VLMs, algorithms and coding.

·        Curiosity and passion - you love exploring, building, and learning, even on your free time.

·        M.Sc. or Ph.D. students preferred - academic background in CS/EE/Math/related.

·        Bonus: Experience with NVIDIA Jetson, edge-AI, or real-world CV/CCTV systems.

Required Knowledge

·        Vision-Language Models (CLIP, BLIP, LLaVA, etc.)

·        Embedding models & semantic search in video

·        Prompt-to-detect, zero/few-shot detection

·        Scene understanding, re-identification, multi-camera setups

·        Experience working with encoders/decoders, transformers, or contrastive learning frameworks

·        Detection under challenging conditions (low-light, thermal, etc.)

Beyond the skills, we’re searching for someone who:

·        Is genuinely excited about AI, vision, and building something groundbreaking.

·        Brings curiosity, initiative, and a collaborative spirit to every challenge.

·        Is the kind of person we’d love to grab a beer (or coffee) with - someone fun, thoughtful, and great to have on the team.