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# Staff Software Engineer, Machine Learning

- **Company:** ATTENTIVE PARTNERS, LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $320,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Data Analysis, Big Data, Amazon DynamoDB, Gradle, Python (Programming Language), PostgreSQL, Machine Learning, Open Source Technology, Redis, Tensorflow, Short Message Service, Software Engineering, SQL Databases, TypeScript, Datadog, Pytorch, ReactJS, Istio, Apache Spark, Spring-boot, Model Validation, Backend, Pandas, Matplotlib, Webpack, Kubernetes, HuggingFace, Playwright, Data Analytics, Xgboost, Cloudflare, Graphql, Machine Learning Operations, Front End Software Development, Terraform, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-software-engineer-machine-learning-ny--19c721e8-38cf-40da-b899-44236b96286a

## About the Role

Software Engineering, Machine Learning, Marketing, Customer Relations, Global Branding, Short Messaging Service (SMS), Mobile Marketing, Hubs, Startup, Campaigns, * 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 TensorFlow/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

## Description

Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.
You will operate with a high degree of ownership, partner closely with Product and Engineering, and help raise the technical bar across our ML systems in a fast-paced, high-impact environment., * Our infrastructure runs primarily in Kubernetes hosted in AWS's EKS

 * Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
 * Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS
 * Our frontend is built with React and TypeScript, and uses best practices like GraphQL, 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, HuggingFace , PyTorch, TensorFlow, and Pandas