We are looking for an Applied Researcher, specializing in Computer Vision, to join our TLV based team.
What you'll do
Build and deploy production-grade AI systems for image and video understanding, combining computer vision, vision-language models (VLMs), and multimodal foundation models.
Design end-to-end pipelinesfrom problem framing and prototyping to evaluation, deployment, and continuous improvement
Develop capabilities for visual search, recognition, and temporal understanding, turning visual data into useful insights and product experiences
Work closely with product and engineering to translate complex customer needs into scalable AI solutions.
Improve accuracy, robustness, latency, and efficiency through model selection, prompt engineering, rigorous evaluation, and model optimization.
Own real-world visual AI challenges from research through production, with meaningful customer impact.
Who are you?
M.Sc. in CS, EE, Math, Physics, or a related field.
3+ years of hands-on experience building and shipping AI/ML systems to production, with a strong focus on computer vision.
Strong experience with modern vision and multimodal models, including VLMs, visual embeddings, and image or video understanding.
Solid understanding of core computer vision methods and the ability to combine specialized models with foundation models.
Fluent with modern AI tooling, including frontier models, prompt design, and structured outputs, with hands-on experience using Claude Code, Cursor, or similar AI agents as an integral part of your development workflow.
Strong engineering skills and the ability to write clean, maintainable, production quality code that others can easily read, extend, and trust.
Experience deploying and optimizing models on cloud and/or on-premises GPU infrastructure.
Strong product intuition and systems thinking, with the ability to balance model performance, reliability, and practical constraints.
An ownership mindset and the ability to operate independently.
Why Airis Labs?
Small team of exceptional people
Fast execution and real ownership
Production systems already used by paying customers
Meaningful problems with real world impact
High ownership, healthy work life balance, no hero culture
