Attentive

Technology

SeniorSoftwareEngineer,ML/AIPlatform

$250k+ United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer, ML/AI Platform at Attentive. Skills: ML Platform, Data Engineering, MLOps. Unlock data access for ML teams. Unlock data access for Data Science teams”

Industry & Context.

Technology
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

Data Engineering / MLOps 5+ years, Built PB-scale feature store, Deep Apache Spark experience, Deep Spark Streaming experience, Deep Ray Data experience, Built data pipelines for ML, Understand data pipeline performance, Created infrastructure for Training ML models, Created infrastructure for fine-tuning LLMs, Understand online/offline ML inferences

Nice to Have

Experience with Kubernetes, Experience with Istio, Experience with Datadog, Experience with Terraform, Experience with CloudFlare, Experience with Helm, Experience with Java, Experience with Spring Boot, Experience with Gradle, Experience with DynamoDB, Experience with Kinesis, Experience with AirFlow, Experience with Postgres, Experience with Planetscale, Experience with Redis, Experience with React, Experience with TypeScript, Experience with GraphQL, Experience with Storybook, Experience with Radix UI, Experience with Vite, Experience with esbuild, Experience with Playwright, Experience with Python, Experience with Metaflow, Experience with HuggingFace, Experience with PyTorch, Experience with TensorFlow, Experience with Pandas

What You'll Do.

Unlock data access for ML teams

Unlock data access for Data Science teams

Optimize feature store

Support PB scale data operations

Partner with other teams

Partner with business stakeholders

Deliver ML initiatives

Deliver AI initiatives

Operate ML data layers

Operate ML tooling layers

Operate ML serving layers

Operate ML inference layers

How You'll Work.

Team & Collaboration

ML engineers; Data scientists; Other teams; Business stakeholders

Full Job Description

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 We’re looking for a self-motivated, highly driven Senior Software Engineer to join our Machine Learning Platform (MLPlatform) team. As a team, we enable Attentive’s Machine Learning (ML) practice to directly impact Attentive’s AI product suite through the tools to train, serve, and deploy ML models with higher velocity and performance, while maintaining reliability. We build and maintain a foundational ML platform that spans the full ML lifecycle for use by ML engineers and data scientists. This is an exciting opportunity to join a rapidly growing ML Platform team at the ground floor, with the ability to drive and influence the architectural roadmap, enabling the entire ML organization at Attentive. This team and role are responsible for building and operating the ML data, tooling, serving, and in

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