Backend Engineer - ML platform

We're looking for a rock-star developer who’s passionate about Lemonade’s mission of revolutionizing insurance through tech and AI.

As a Backend Engineer on our ML Platform team, you’ll play a crucial role in architecting and building our cutting-edge machine learning platform to support the end-to-end machine learning lifecycle. You will drive business-wide ML projects from an engineering perspective, leveraging cloud-native technologies to empower our data scientists and engineers.

In this role you'll:

• Design and develop an internal ML platform to support data scientists in their research and development efforts.
• Collaborate with cross-functional teams to manage projects with various stakeholders, ensuring alignment with business goals.
• Implement cloud-native microservice architecture running on Kubernetes, leveraging infrastructure-as-code to automate the deployment and management of machine learning models.
• Drive the end-to-end machine learning lifecycle, from training and testing to deployment and monitoring in real-time or near real-time environments.
• Evaluate and select appropriate tools and technologies based on workload characteristics and performance requirements.

What you’ll need:

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related field.
• 4+ years of experience in software engineering, with a strong track record of delivering high-scale, production-grade projects.
• Proficiency in at least two general-purpose programming languages, such as Python (preferred), Java, C#, C++, Typescript, or Ruby.
• Experience working with relational and NoSQL databases, as well as cloud platforms (AWS, Azure, GCP).
• Strong problem-solving skills, attention to detail, and ability to thrive in a fast-paced, collaborative environment.
• Experience with training, testing, deployment, and monitoring real-time (or near real-time) machine learning models in production is a plus
• Ability to work in an office environment a minimum of 3 days a week