This role pays more than
62%
of similar roles. Most pay
$208,575–$254,750
— the shaded band above.
At the midpoint, this role pays about
$249k
versus about
$232k
for comparable roles.
Based on 240 similar postings.
Employer
About Braze
Braze is a leading cloud-based customer engagement platform that enables brands to foster human connection with consumers through interactive, real-time, cross-channel marketing.
Braze currently has
100 open roles
on FindRole.
Listed pay typically runs
$149,000–$235,000
across 99 roles with salary data.
Staff Machine Learning Engineer, ML Platform joins the Predictive and Generative AI team to build and operate production systems for personalized marketing solutions. This hands-on role involves owning the platform's technical vision, managing multi-region model serving fleets, and developing distributed pipelines that train and serve customer-specific models at scale. The engineer will drive transformative initiatives like replatforming orchestration, overhauling deployment tools, and ensuring high reliability and cost efficiency for ML systems. Key responsibilities include mentoring senior engineers, conducting design reviews, and managing cross-team technical relationships. Required expertise includes building distributed systems, infrastructure as code, and Kubernetes within cloud environments. Preferred skills include Python, Ruby on Rails, MongoDB, Redis, and experience with tools like Celery, RabbitMQ, Kafka, Ray, or MLflow to solve complex challenges in the marketing technology domain.
What does a Machine Learning Engineer earn in New York?
Median $244450 from 60 postings across 21 companies.
Machine Learning
Python
Ruby on Rails
Kubernetes
MongoDB
Redis
Kafka
RabbitMQ
Ray
MLflow
CI/CD
Infrastructure as Code
Distributed Systems
Cloud Infrastructure
Feature Stores
Model Serving
Machine Learning
Python
Ruby on Rails
Kubernetes
MongoDB
Redis
Kafka
RabbitMQ
Ray
MLflow
CI/CD
Infrastructure as Code
Distributed Systems
Cloud Infrastructure
Feature Stores
Model Serving