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Staff Machine Learning Engineer, ML Platform
Summary by AIEngineer.careers
Staff Machine Learning Engineer, ML Platform is a ML Infrastructure Engineer role (full-time). with Braze. in SAN FRANCISCO, US. Compensation shown: $184K–$348K. Imported listing (source: jobs.towardsai.net). Apply on the employer's site (jobs.towardsai.net).
Imported listing (source: jobs.towardsai.net) · Apply on jobs.towardsai.net
SAN FRANCISCO · US
$184K–$348K
Full-time
STAFF
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs.towardsai.net
Braze is seeking a Staff Machine Learning Engineer to lead technical initiatives for scaling ML systems in production. The role focuses on designing infrastructure for model training, deployment, and high-throughput serving while setting the technical vision for reliability and efficiency. You will collaborate with partner teams to integrate shared infrastructure and mentor senior engineers.
Responsibilities
- Lead technical initiatives to manage and scale machine learning systems within a production environment
- Design and maintain infrastructure for model training, deployment, and high-throughput serving
- Set the technical vision for the platform ensuring reliability, efficiency, and quality across distributed systems
- Collaborate with partner teams to integrate shared infrastructure and data systems
- Mentor senior engineers and represent the team's technical perspective to leadership
Requirements
- Experience leading technical initiatives in ML system scaling
- Deep understanding of model training and deployment pipelines
- Expertise in building high-throughput serving infrastructure
- Strong background in distributed systems design
- Proven ability to mentor senior engineers and influence technical strategy
Braze
New York · US · 2000+ employees
Braze is a comprehensive customer engagement platform that allows marketers to collect real-time data and engage with customers across various digital channels. It provides orchestration, messaging, and AI-powered experimentation tools to drive brand loyalty.
