Senior Computer Vision Algorithms Engineer
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.
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
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