Job Opportunities API

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 We’re looking for a self-motivated, highly driven Senior Software Engineer to join Attentive’s Machine Learning Platform team. As a hands-on individual contributor, you’ll build and operate the platform capabilities that enable ML engineers and data scientists to develop, train, evaluate, deploy, and serve models reliably at scale. Your work will span the ML lifecycle—including data and feature access, training infrastructure, model lifecycle management, batch and real-time inference, and platform observability. You’ll own well-scoped projects from design and implementation through production operations, partnering with Staff engineers and platform users to translate broader architectural direction into reliable, self-service capabilities. This is an opportunity to join a growing ML Platform team and directly improve how quickly and safely Attentive ships AI- and ML-powered products. What You’ll Accomplish Build and operate production-grade services and workflows for training, evaluating, deploying, and serving ML models. Implement improvements across ML data and feature access, training infrastructure, model lifecycle tooling, and batch and online inference. Develop scalable APIs, abstractions, and self-service tools that make ML engineers and data scientists more productive. Improve the reliability, observability, performance, and cost efficiency of ML platform components. Own projects through implementation, testing, rollout, monitoring, and ongoing production support. Contribute to technical designs and help break larger platform initiatives into deliverable milestones. Partner with ML, Data Science, Product Engineering, and Infrastructure teams to deliver AI and ML initiatives. Raise engineering quality through code reviews, documentation, operational best practices, and mentorship. Your Expertise 5+ years building and operating production software or distributed systems, with meaningful experience in ML platform, MLOps, or ML infrastructure. Strong software engineering skills in Python, Java, or a comparable language, including experience building production services or developer-facing platforms. Experience in one or more areas of the ML lifecycle: training infrastructure, orchestration, feature platforms, model deployment, model lifecycle management, or inference. Experience with distributed data or compute technologies such as Spark, Ray, Kafka, or similar systems. Expertise in every listed technology is not required. Understanding of the design and operational tradeoffs between batch, streaming, online, and offline ML workloads. Experience running reliable workloads in a cloud environment using te