Tel Aviv, Israel
Open 5 months, first seen by us 160 days agoEmployment type in the employer’s posting: FullTimeFrom the employer’s posting
Design and build the foundational ML platform and AI agents
Architect cloud-native microservices on Kubernetes with infrastructure-as-code
Own the end-to-end ML lifecycle: training, testing, deployment, and monitoring
Evaluate and choose tools based on workload and performance needs
Find and fix reliability, scalability, and performance gaps
Design and build the foundational ML platform and AI agents
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
Identify and fix reliability, scalability, and performance gaps before they become problems
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
Familiarity with AI concepts like RAG, embeddings, mixture-of-experts, prompt crafting, and LLM context engineering - an advantage
Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field
- 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
Open 5 monthsWe first saw this posting 160 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 160
Up longer than most. Similar jobs usually come down between day 8 and day 54.
Well past Lemonade’s usual: its jobs come down by about day 13.
From 38,591 similar postings that came down, and 5 of Lemonade’s. Coming down is not always a hire.
4 open jobs
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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)
- 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
- 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
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Already applied? Track this application
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.
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
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
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Tel Aviv, Israel
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.