Senior Machine Learning Engineer

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.

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

Your Expertise

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

What We Use

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

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 $244,000 - 320,000 annually + equity + benefits

Our salary ranges are determined by role, level and location

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