Senior Backend Engineer - ML Platform

As a Senior Backend Engineer on our Machine Learning Platform team, you’ll play a crucial role in creating the architecture and building our cutting-edge ML platform to support the end-to-end machine learning lifecycle. In this role, you’ll 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

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

Collaborate with cross-functional teams to manage projects with various stakeholders, ensuring alignment with business goals

What you’ll need

6+ years of experience in software engineering, with a strong track record of delivering high-scale, production-grade projects

Proficiency in Python

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, a plus

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

Ability to work in an office environment a minimum of 3 days a week

Enthusiasm about learning and adapting to the exciting world of AI – a commitment to exploring this field is a fundamental part of our culture