Senior Machine Learning Operations Engineer, Feature Store Developer

Attentive, an AI-powered mobile marketing platform, is seeking a Senior MLOps Engineer to join their Machine Learning Operations team. This role focuses on enabling Attentive's ML practice through building and maintaining a foundational ML platform. The position offers an opportunity to work with petabyte-scale data operations, feature store development, and end-to-end ML lifecycle management.

The ideal candidate will have 5+ years of experience in Data Engineering/MLOps, with expertise in Apache Spark, Ray Data, and feature store technologies. You'll be working with cutting-edge tools and technologies including Kubernetes, AWS EKS, and various ML frameworks like PyTorch and TensorFlow.

As part of the role, you'll be responsible for managing and optimizing feature stores, supporting large-scale data operations, and partnering with cross-functional teams to deliver ML and AI initiatives. The position offers competitive compensation ($144,840 - $210,000 annually), equity, and benefits.

Attentive has been recognized by Deloitte's Fast 500, LinkedIn's Top Startups, and Forbes Cloud 100, making it an exciting time to join the company. The platform currently powers over 400 million messages daily and serves leading global brands like Neiman Marcus, Samsung, Wayfair, and Dyson.

This remote position offers the opportunity to work on challenging technical problems while contributing to a platform that delivers the highest ROI in marketing channels. The company culture emphasizes action, teamwork, customer success, and ownership, making it an ideal environment for driven engineers looking to make a significant impact.