Computer Vision Algorithm Expert

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 engineer at Honeycomb plays a pivotal role in shaping our trajectory.

Honeycomb is expected to cross $100M in annual sales in Q1 2024 while maintaining its strong and highly sustainable growth.

Join us and experience the tremendous impact you can make. 

What You’ll Do: 

• Develop cutting-edge machine learning and computer vision algorithms that significantly enhance the performance and functionality of our product, directly impacting its competitiveness and value proposition in the market.
• Research cutting-edge machine learning and computer vision algorithms that apply to our field.
• 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.
• Design and build machine learning pipeline infrastructure for production and research alike.
• 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./Ph.D. in Computer Science, Electrical Engineering, Industrial Engineering, with specialization in deep learning and computer vision.
• 5+ years hands-on experience in computer vision algorithms development and deployment.
• Ability to initiate and lead machine learning projects end-to-end and work closely with stakeholders.
• Team player, positive, driven, independent and fast learner.
• Advantage- experience in one or more of the following:
• Structured data.
• MLOps.
• Implementation of ML models at scale. 

Nice to Have

• 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.