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.
