Attentive

Principal Machine Learning Engineer

Job Description

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
  • Define the long-term technical vision for machine learning systems at Attentive, setting the standard for quality, scalability, and innovation
  • Architect and build production-grade ML systems that deliver personalization at scale and in real time
  • Lead cross-functional initiatives across ML, data, and engineering teams to accelerate the deployment and reliability of ML-powered features
  • Proactively safeguard model and system quality by implementing rigorous testing, monitoring, and validation pipeline
  • Champion best practices in ML development, driving improvements to model performance, system resilience, and engineering efficiency
  • Act as a mentor and thought leader - guiding engineers, influencing architecture decisions, and advocating for long-term technical excellence
  • Thrive in a high-impact, fast-paced environment, influencing both technical direction and product outcomes

    • Your Expertise
  • Proven experience building and maintaining large-scale ML systems in production environments
  • Deep proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, and xgboost
  • Strong background with data processing and analytics tools including pandas, Spark, SQL, and matplotlib
  • Expertise in designing scalable, automated pipelines for data processing, model training, validation, and deployment
  • Experience leading cross-functional ML projects, collaborating with engineering, product, and analytics teams
  • Strong communication and leadership skills with the ability to influence technical direction across teams

    • 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, esbuild, Playwright
  • ML & Data: Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, Panda

    • Apply Now
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