About the role
Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups , Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces , and the Human Rights Campaign Foundation's Corporate Equality Index !
About
the Role Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform. You will operate with a high degree of ownership, partner closely with Product and Engineering, and help raise the technical bar across our ML systems in a fast-paced, high-impact environment. What You’ll Accomplish You have a proven track record of building systems that maintain a high bar of quality You deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniques You are a collaborator, technical leader, and a great communicator You are constantly improving the quality of the project you are working on, both via direct contributions as well as long-term advocacy for larger-scale changes You are enthusiastic about the high impact, fast-paced work environment of an late-stage startup 10+ years experience is ideal Your Expertise You have worked professionally building systems for 6+ years with experience on a single system long enough to see the consequences of your decisions Experience with TensorFlow/Pytorch, xgboost, pandas, matplotlib, SQL, Spark or similar tools You have proficiency or experience with Python You have extensive experience using machine learning and data analysis, or similar, to build scalable systems and data-driven products, working with cross-functional teams You have a proven track record of building scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation from modern research You have led cross-functional machine learning projects across teams What We Use Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas You'll get competitive