Senior AI Researcher (Vision & NLP)

At Honeycomb, we're not just building technology , we’re reshaping the future of insurance. 

In 2025, Honeycomb  was ranked by Newsweek as one of “America’s Greatest Startup Workplaces,” and Calcalist named it as a “Top 50 Israel startup.” 

How did we earn these honors?

Honeycomb is a rapidly growing global startup, generously backed by top-tier investors and powered by an exceptional team of thinkers, builders, and problem-solvers. Dual-headquartered in Chicago and Tel Aviv (R&D center), and with 5 offices across the U.S., we are reinventing the commercial real estate insurance industry, an industry long overdue for disruption. Just as importantly, we ensure every employee feels deeply connected to our mission and one another.

With over $55B in insured assets, Honeycomb operates across 18 major states, covering 60% of the U.S. population and increasing its coverage.

If you’re looking for a place where innovation is celebrated, culture actually means something, and smart people challenge you to be better every day -  Honeycomb might be exactly what you’ve been looking for.

About The Role:

We are looking for a senior AI researcher to join our core AI team, which is building the core engine that empowers our product. This is a pivotal time to join as we are rapidly growing and addressing a major need for automation in a highly complex and high-impact domain. If you’re passionate about advancing AI and want to tackle real-world challenges using diverse, unstructured data, we’d love to meet you.

What You’ll Do: 

• Use state of the art cutting-edge computer vision algorithms that significantly enhance the performance and functionality of our product, directly impacting its competitiveness and value proposition in the market.
• Develop state-of-the-art proprietary multimodal ai models (VLMs) as part of hard coded and agentic workflows that process and integrate diverse data sources—including satellite imagery, web-sourced images, textual documents, and structured tabular data—to emulate the complex decision-making process of professional underwriters assessing risk.    
• Own data science projects end-to-end: from project specifications, data collection, sanitizing, and preprocessing through model training and development, all the way to deploying models to production and performance monitoring and optimization.
• Collaborate closely with cross-functional teams and different stakeholders.
• Consistently think outside the box to drive continuous improvement and differentiation, proactively identify opportunities for innovation, and take initiative to generate and implement new ideas.

Basic Requirements

• M.Sc. or PHD in Computer Science, Electrical Engineering or an equivalent field 
• 7+ years hands-on experience in computer vision algorithms development and deployment.
• Preferred: Experience with state-of-the-art tech like VLM, foundation modules etc. 
• Ability to initiate and lead machine learning projects end-to-end and work closely with stakeholders.
• Team player, positive, driven, independent and fast learner.
• You thrive within an innovative and creative culture.
• You take initiative and push forward, rather than waiting for instructions.
• You have a natural curiosity to constantly advance your algorithm and coding abilities. 
• Experience as a tech lead - Advantage