Honeycomb (HoneycombInsurance.com) is an award winning Insure-tech startup, founded by serial entrepreneurs and industry veterans and backed by top investors. Honeycomb is reinventing real-estate insurance and provides simple, fair, and affordable insurance through its end-to-end digital platform. Honeycomb leverages user-generated proprietary data, advanced Artificial Intelligence and Computer Vision to automate a currently manual, inaccurate and costly underwriting process.

That’s driven explosive growth since launch with both customers and agency partners quickly adopting Honeycomb’s differentiated offerings and digital experience producing revenues growing 2-3X month over month.

What You’ll Do: 

• Develop machine learning and computer vision algorithms.
• Research algorithmic techniques that apply to our field.
• Own data science processes end-to-end: from data collection, sanitizing, and preprocessing, through model training and development, all the way to deploying models to production.
• Design and building machine learning pipelines infrastructure for production and research alike.

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, using Pytorch or Tensorflow
• Ability to initiate and lead machine learning projects end-to-end.
• Experience in deployment of deep learning models- an advantage.
• Team player, positive, driven, independent and fast learner.
• Advantage: Structured data experience.
• Advantage: experience working with cloud (GCP, AWS, etc.) technologies.

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.