Senior Machine Learning Platform Engineer, Feature Store Developer

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

Description For Senior Machine Learning Platform Engineer, Feature Store Developer

Attentive, a leading AI-powered mobile marketing platform, is seeking a Senior Machine Learning Platform Engineer to join their MLOps team. This role is crucial in building and maintaining the foundational ML platform that powers Attentive's AI product suite.

The position offers an exciting opportunity to work with cutting-edge technologies and handle data at a massive scale (PB-scale). As a senior engineer, you'll be responsible for developing and optimizing the feature store that enables feature engineering, multi-TB scale training jobs, and both offline and real-time inferencing. The role requires expertise in Apache Spark, Spark Streaming, and Ray Data, along with deep understanding of data pipeline performance optimization.

The technology stack is modern and comprehensive, including Kubernetes on AWS EKS, Java/Spring Boot microservices, React/TypeScript frontend, and various ML tools like HuggingFace, PyTorch, and TensorFlow. The infrastructure leverages tools such as Istio, Datadog, Terraform, and various AWS services.

Attentive has been recognized by Deloitte's Fast 500, LinkedIn's Top Startups, and Forbes Cloud 100, indicating a strong growth trajectory. The company culture emphasizes action, teamwork, customer success, and ownership. They offer competitive compensation including a base salary range of $144,840 - $210,000, plus equity and comprehensive benefits.

This role presents an opportunity to influence the architectural roadmap of ML infrastructure at a rapidly growing company. The successful candidate will work with trillions of data points, build scalable solutions, and collaborate with various teams to deliver ML and AI initiatives that directly impact the company's product suite. The position offers remote work flexibility and the chance to work with a diverse, inclusive team committed to transforming how brands engage with consumers through AI-powered personalization.

Last updated a day ago

Responsibilities For Senior Machine Learning Platform Engineer, Feature Store Developer

  • 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, multi-TB scale training jobs, and inferencing
  • Support PB scale data operations using Apache Spark, Spark Structured Streaming, Kafka, and Ray
  • Partner with teams and stakeholders to deliver ML and AI initiatives

Requirements For Senior Machine Learning Platform Engineer, Feature Store Developer

Java
Python
React
TypeScript
PostgreSQL
Redis
Kubernetes
  • 5+ years experience in Data Engineering / MLOps
  • Experience building and maturing PB-scale feature store pipelines
  • 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 Machine Learning Platform Engineer, Feature Store Developer

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

Interested in this job?

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