Machine Learning Engineer II

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 As a Machine Learning Engineer II, you will contribute to building and improving machine learning models and infrastructure that power real-time personalization across the Attentive platform. This role is ideal for an engineer who has solid production ML experience and is looking to grow their impact, technical depth, and ownership within a collaborative team environment. You will work closely with senior ML engineers, product managers, and platform teams to implement end-to-end ML use cases while continuing to develop strong ML engineering fundamentals. What You’ll Accomplish Build and maintain machine learning models and pipelines used in production Contribute to data processing, feature engineering, model training, and evaluation workflows Assist in deploying, monitoring, and validating ML models in production environments Partner with senior engineers and product managers to implement ML-driven features Write high-quality, well-tested code and help prevent regressions through testing and monitoring Learn and apply best practices in ML engineering, system reliability, and scalability Participate in design discussions, code reviews, and team knowledge sharing Grow your technical skills in a fast-paced, high-impact environment Your Expertise 3+ years of professional software engineering experience, with 2+ years working on machine learning or data-driven systems Proficiency in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or xgboost Experience with data analysis and processing tools such as pandas, SQL, Spark, or similar Exposure to building or supporting ML pipelines for training, validation, or deployment Understanding of production concerns such as monitoring, performance, and data quality Strong collaboration and communication skills, with a growth-oriented mindset What We Use Infrastructure: Kubernetes (AWS EKS), Istio, Datadog, Terraform, Cloudflare, Helm Backend: Java / Spring Boot microservices (Gradle), DynamoDB, Kinesis, Airflow, Postgres, PlanetScale, Redis Frontend: React, TypeScript, GraphQL, Storybook, Radix UI, Vite, Playwright ML Data: Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, Panda 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 $212,000 - 280,000 annually + equity + benefits Our salary ranges are determined by role, level and location #LI-EF1 By applying for this position, your data will be processed as per Attentive's Privacy Policy . Attentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is ... (truncated, view full listing at source)