Honeycomb is a rapidly expanding, well-funded startup committed to setting the benchmark for excellence in the InsureTech industry. Our foundation is built on cutting-edge technology, but our greatest asset is our exceptional team of professionals. By seamlessly integrating AI, state-of-the-art technology, and profound human expertise, each member at Honeycomb plays a pivotal role in shaping our trajectory.

Honeycomb operates across 18 major states, covering 60% of the U.S. population, and manages insured assets exceeding $45 billion.

Having raised $36 million in its last B round in 2024, Honeycomb is expected to continue growing strongly and sustainably into 2025.

Join us and experience the tremendous impact you can make.

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.
  
  

• 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