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-scale machine learning systems. This role focuses on creating high-throughput APIs, distributed training pipelines, and infrastructure for personalized marketing solutions. You will own the platform's technical vision, leading initiatives such as replatforming queueing systems, overhauling deployment tools, and managing multi-region model serving fleets. The position requires extensive experience with Kubernetes, cloud infrastructure, and CI/CD pipelines to ensure reliability and cost efficiency. Key technologies include Python, Ruby on Rails, MongoDB, Redis, and potentially Celery, RabbitMQ, Kafka, or Ray. You will also work with ML tools like MLflow for model registries and feature stores. The role solves the challenge of scaling complex machine learning operations while maintaining high production quality across global systems to deliver personalized customer experiences.
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