Senior ML Platform Engineer – Real-Time Data & Features

Attentive; United States; On-site; USD 220,000 - 260,000; Full time

Benefits offered by this job

Competitive perks and benefits

Equity benefits

Job summary

Attentive is seeking a highly driven Senior Software Engineer to join the Machine Learning Platform team. This role will work on enhancing our ML capabilities through data, tooling, and model deployment. You will manage our feature store and support large-scale data operations while collaborating with other teams to drive ML initiatives.

The ideal candidate has over 5 years of experience in Data Engineering / MLOps, excels in using tools like Apache Spark, and is familiar with both online and offline ML practices. Attentive offers competitive benefits and is an equal opportunity employer.

Qualifications

• 5 years experience in Data Engineering / MLOps with pipelines for PB-scale feature store.
• Deep experience with Apache Spark and built data pipelines for ML.
• Informed understanding of online vs offline ML inferences.

Responsibilities

• Unlock offline & real-time access to trillions of data points.
• Manage and optimize our feature store and support PB scale data operations.
• Deliver ML and AI initiatives with cross-team collaboration.

Skills

Data Engineering / MLOps

Apache Spark

Spark Streaming

Ray Data

Python

AWS

Tools

Kubernetes

Terraform

AWS EKS

Java

React

Job description

Attentive is seeking a highly driven Senior Software Engineer to join the Machine Learning Platform team. This role will work on enhancing our ML capabilities through data, tooling, and model deployment. You will manage our feature store and support large-scale data operations while collaborating with other teams to drive ML initiatives.

The ideal candidate has over 5 years of experience in Data Engineering / MLOps, excels in using tools like Apache Spark, and is familiar with both online and offline ML practices. Attentive offers competitive benefits and is an equal opportunity employer.