Senior Backend Engineer - ML Platform

Posted Yesterday
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Tel Aviv, ISR
In-Office
Senior level
Artificial Intelligence • Fintech • Insurance • Social Impact • Financial Services
Lemonade is the digital insurance company built on social impact.
The Role
Design, build, and scale a cloud-native ML platform and AI agents. Own end-to-end ML lifecycle (training, testing, deployment, monitoring), architect Kubernetes microservices with infrastructure-as-code, ensure production reliability and performance, and collaborate with engineering, data science, and product teams to align ML projects with business goals.
Summary Generated by Built In

We're looking for a Senior Backend Engineer to help build and scale the Machine Learning Platform that powers how Lemonade uses AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.

We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.

In this role you'll
  • Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units

  • Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management

  • Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring

  • Evaluate and choose the right tools and technologies based on workload demands and performance requirements

  • Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals

  • Identify and fix reliability, scalability, and performance gaps before they become problems

What you'll need
  • 6+ years of software engineering experience, with a strong record of delivering high-scale, production-grade systems

  • Strong proficiency in Python

  • Hands-on experience with relational and NoSQL databases, and at least one major cloud platform (AWS, Azure, or GCP)

  • Experience with training, testing, deploying, and monitoring real-time or near real-time ML models in production

  • Fluent with AI-powered development tools like Cursor and Claude Code, and genuinely curious about what's next in GenAI, LLMs, and AI agents

  • Familiarity with AI concepts like RAG, embeddings, mixture-of-experts, prompt crafting, and LLM context engineering - an advantage

  • Sharp problem-solving instincts and the ability to move fast without cutting corners

  • Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field

  • Ready to work in an office environment most days of the week

Skills Required

  • 6+ years of software engineering experience delivering high-scale, production-grade systems
  • Strong proficiency in Python
  • Hands-on experience with relational and NoSQL databases
  • Experience with at least one major cloud platform (AWS, Azure, or GCP)
  • Experience training, testing, deploying, and monitoring real-time or near real-time ML models in production
  • Experience architecting cloud-native microservices on Kubernetes and using infrastructure-as-code
  • Fluent with AI-powered development tools like Cursor and Claude Code
  • Familiarity with RAG, embeddings, mixture-of-experts, prompt crafting, and LLM context engineering
  • Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field
  • Ready to work in an office environment most days of the week

Lemonade Compensation & Benefits Highlights

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

  • Healthcare Strength Health coverage is delivered via mainstream Cigna medical options, with multiple plan types and supplemental health protections. This signals broad networks and a robust core healthcare offering.
  • Retirement Support A company 401(k) match is part of the package and is positioned alongside other core financial benefits. This provides structured retirement savings support as a standard element of total rewards.
  • Leave & Time Off Breadth PTO is presented as generous, alongside paid sick time and strong parental leave with a return-to-work program. These time-off provisions extend beyond the basics and support work-life needs.

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The Company
HQ: New York, NY
1,200 Employees
Year Founded: 2015

What We Do

Our mission is simple: Create the world’s most loved insurance through technology and social impact. As a certified Public Benefit Corporation and B-Corp, Lemonade is constantly challenging how the insurance industry does business. We’re creating an experience that is fast, affordable, and hassle-free across renters, homeowners, pet, life and car insurance. And through our annual Giveback program, in which leftover premiums are donated to charities our customers choose, we’ve donated nearly $5 million to a variety of organizations in need.

Why Work With Us

We’ve set out to make insurance loveable, fast, simple, and socially impactful - words that aren’t often associated with this industry. We’re a Certified B-corp, the only US insurance company to never invest in polluting industries, and our annual Giveback program has donated nearly $5 million globally to nonprofits in need.

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