Senior Data Engineer, Machine Learning Platform

AI-powered mobile marketing platform transforming brand personalization through consumer engagement
United States
$144,840 - $210,000
Data
Senior Software Engineer
Remote
501 - 1,000 Employees
5+ years of experience
AI · Enterprise SaaS

Description For Senior Data Engineer, Machine Learning Platform

Attentive, a leading AI-powered mobile marketing platform, is seeking a Senior Data Engineer to join their Machine Learning Operations (MLOps) team. This role presents an exciting opportunity to shape the future of ML infrastructure at a rapidly growing company trusted by major brands like Neiman Marcus, Samsung, Wayfair, and Dyson.

The position focuses on building and maintaining a foundational ML platform that spans the complete machine learning lifecycle. As a Senior Data Engineer, you'll be working with cutting-edge technologies to handle petabyte-scale data operations using tools like Apache Spark, Kafka, and Ray. The role requires expertise in both offline and real-time data processing, feature store management, and ML model serving infrastructure.

The technical stack is modern and comprehensive, including Kubernetes on AWS EKS, Java/Spring Boot microservices, React/TypeScript frontend, and various ML frameworks like PyTorch and TensorFlow. You'll be working in an environment that values technical excellence and innovation, with the opportunity to directly impact the company's AI product suite.

The compensation package is highly competitive, with a base salary range of $144,840 - $210,000 annually, plus substantial equity and comprehensive benefits. The position offers remote work flexibility and the chance to join a company recognized by Deloitte's Fast 500, LinkedIn's Top Startups, and Forbes Cloud 100.

This role is ideal for someone who is passionate about MLOps, has extensive experience with data engineering at scale, and wants to be part of a team that's building the future of personalized marketing technology. You'll have the opportunity to influence architectural decisions and work with a talented team in an environment that promotes ownership, action, and customer success.

Last updated a day ago

Responsibilities For Senior Data Engineer, Machine Learning Platform

  • Unlock offline & real-time access to trillions of data points for ML and Data Science teams
  • Manage, expand, and optimize feature store for feature engineering and multi-TB scale training jobs
  • Support PB scale data operations using Apache Spark, Spark Structured Streaming, Kafka, and Ray
  • Partner with other teams and business stakeholders to deliver ML and AI initiatives

Requirements For Senior Data Engineer, Machine Learning Platform

Java
Python
Kafka
Redis
PostgreSQL
React
TypeScript
  • 5+ years experience in Data Engineering / MLOps
  • Experience building and maturing pipelines of a PB-scale feature store
  • Deep Apache Spark, Spark Streaming, and Ray Data experience
  • Experience with feature stores such as Tecton or Feast
  • Understanding of online and offline ML inferences
  • Understanding of data cardinality, query plans, configuration settings, and hardware impact

Benefits For Senior Data Engineer, Machine Learning Platform

Medical Insurance
Equity
  • Competitive salary
  • Equity compensation
  • Health & wellness benefits

Interested in this job?

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