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Senior Machine Learning Platform Engineer

Honeycomb InsuranceTel Aviv, Israel
On-site Full-time

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Experience Level

Senior

Qualifications

Basic Requirements:6+ years of experience in ML infrastructure, data/backend, or platform engineering. Strong background in designing and implementing data pipelines and ML systems. Proficiency in programming languages such as Python, Java, or Scala. Experience with cloud platforms like AWS, GCP, or Azure. Familiarity with containerization and orchestration tools like Docker and Kubernetes.

About the job

Honeycomb

At Honeycomb, we are not just developing technology; we are transforming the insurance landscape.

In 2025, Honeycomb was honored by Dun & Bradstreet as one of the Top 10 Best Start-Up Companies to Work For in Israel and recognized by LinkedIn as one of the Top 10 Startups in Chicago.

What led us to achieve these accolades?

Honeycomb is a fast-growing global startup, well-supported by prestigious investors and driven by an outstanding team of innovators, creators, and problem-solvers. With dual headquarters in Chicago and Tel Aviv (R&D center) and five offices across the U. S., we are revolutionizing the commercial real estate insurance sector, an industry ripe for disruption. Moreover, we ensure that every team member feels a strong connection to our mission and each other.

With over $55 billion in insured assets, Honeycomb operates in more than 20 major states, covering 60% of the U. S. population and expanding our reach.

If you seek an environment where innovation thrives, culture holds true meaning, and brilliant minds inspire you to elevate your skills every day, then Honeycomb could be the perfect fit for you.

About The Role:

We are seeking a Senior Machine Learning Platform Engineer to create and maintain the infrastructure that empowers our data science teams to deploy ML and GenAI systems into production. You will establish core functionalities such as data and feature pipelines, training and evaluation infrastructure, and model serving.

What You’ll Do

  • Develop and manage backend systems and APIs that facilitate end-to-end ML workflows (data → training → deployment).
  • Architect for performance, scalability, reliability, and cost-effectiveness in production ML settings.
  • Construct infrastructure for LLM/agentic workflows (tool execution, retrieval, evaluation, observability).
  • Collaborate closely with data scientists to enhance platform capabilities and developer experience.
  • Foster Innovation: Continuously assess and integrate emerging infrastructure technologies to provide Honeycomb’s AI platform with a competitive advantage.

About Honeycomb Insurance

Honeycomb Insurance is an innovative startup at the forefront of transforming the insurance industry. Recognized as one of the top companies to work for, we prioritize a culture of collaboration and creativity, ensuring that our employees are engaged and aligned with our mission to disrupt the traditional insurance landscape.

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