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# Senior Machine Learning Engineer

- **Company:** ATTENTIVE PARTNERS, LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $244,000.0 - $320,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Data Analysis, Code Review, Amazon DynamoDB, Gradle, Python (Programming Language), PostgreSQL, Machine Learning, Open Source Technology, Redis, Tensorflow, Short Message Service, Software Systems, SQL Databases, TypeScript, Datadog, Data Processing, Pytorch, ReactJS, Istio, Delivery Pipeline, Large Language Models, Apache Spark, Spring-boot, Reliability of Systems, Backend, Kotlin, Pandas, Matplotlib, Webpack, Kubernetes, HuggingFace, Playwright, Xgboost, Cloudflare, Graphql, Machine Learning Operations, Tools for Reporting, Front End Software Development, Terraform, Microservices
- **Published:** November 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-machine-learning-engineer-san-francisco-ca--93f54ba3-059a-4fbc-9d1c-76dec25f939c

## About the Role

Machine Learning, Marketing, Customer Relations, Global Branding, Short Messaging Service (SMS), Mobile Marketing, Hubs, Startup, Campaigns, LinkedIn, * 6+ years of professional experience building production machine-learning software systems

 * Proven experience owning ML systems long enough to see the downstream impact of design decisions
 * Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or xgboost
 * Experience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlib
 * Hands-on experience building automated pipelines for data processing, model training, validation, and deployment
 * Experience collaborating with cross-functional teams to deliver ML-powered features
 * Strong communication skills and a high sense of ownership

## 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.

What You'll Accomplish

 * Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, personalization systems
 * Own ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration
 * Proactively safeguard model and system quality through testing, monitoring, validation, and alerting
 * Collaborate cross-functionally with product, data, and other engineering partners to translate business problems into ML solutions
 * Continuously improve system reliability, performance, and engineering efficiency
 * Contribute to technical direction and best practices across the ML engineering team
 * Mentor and support other engineers through code reviews, design discussions, and knowledge sharing
 * Thrive in a high-impact, fast-paced, late-stage startup environment, * Our backend is Java / Kotlin / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Aurora, AirFlow, Postgres, and Redis, hosted via AWS
 * Our infrastructure runs primarily in Kubernetes hosted in AWS's EKS, using tooling like Istio, Datadog, Terraform, CloudFlare, and Helm
 * 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, industry-leading LLMs, lots of data and tech like Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas