Computer Vision Algorithm Expert

Sorry, this job was removed at 03:46 p.m. (CST) on Thursday, Mar 13, 2025
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Tel Aviv, ISR
In-Office
Artificial Intelligence • Insurance • Machine Learning • Real Estate
The Role

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.

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.

Honeycomb Insurance Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeycomb Insurance and has not been reviewed or approved by Honeycomb Insurance.

  • Healthcare Strength Employees receive comprehensive medical, dental, and vision coverage, including 100% premium coverage for employees and additional support such as an HSA with company contributions.
  • Flexible Benefits A broad set of allowances and reimbursements is described, including a $600 annual perk allowance and support for home office setup plus monthly internet/phone/co-working reimbursements.
  • Equity Value & Accessibility Equity is positioned as a meaningful part of total rewards through stock options/RSUs with multi-year vesting, framed as valuable in a growth-stage company context.

Honeycomb Insurance Insights

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The Company
Chicago, Illinois
190 Employees
Year Founded: 2019

What We Do

Honeycomb was built to disrupt the real estate insurance industry. Using Artificial Intelligence and computer vision, we offer apartment buildings, condominium associations and single-family rental dwellings perfectly customized policies at unbeatable rates. Our digitally-native platform makes purchasing insurance an easy and transparent process for property owners, property managers associations directors, and retail agents.

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