Machine Learning Engineer, Team Lead

Position: Staff Machine Learning Engineer, Team Lead
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#1provider 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!), Linked In’s Top Startups, Forbes’ Cloud 100 (five years running!), and Inc.’s Best Workplaces.

About the Role

Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. We build advanced ML models that predict customer behaviors in real-time, enabling highly personalized shopping experiences. Joining our team offers a high-growth career opportunity to work with some of the world’s most talented machine learning engineers in a high-performance and high-impact culture.

We are seeking a self-driven and highly motivated Machine Learning Engineer to join our growing machine learning teams. As an early hire, you will contribute to the development of machine learning models and infrastructure needs across the Attentive platform and work with Product Management and Engineering to implement end-to-end modeling use cases.

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 Tensor Flow/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, Cloud Flare, and Helm

• Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like Dynamo

DB, Kinesis, Air Flow, Postgres, Planetscale, and Redis, hosted via AWS

• Our frontend is built with React and Type Script, and uses best practices like Graph

QL, 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, Hugging Face , PyTorch, Tensor Flow, and Pandas

You’ll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants

• The US base salary range for this full‑time position is $288,000 - $330,000 annually + equity + benefits

• Equity is a…