Principal ML Platform Engineer - Scalable, Reliable Systems

EngineersOfAI; Sunnyvale (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

EngineersOfAI is seeking a seasoned technical leader to design and evolve the platform's architecture for reliability and scalability. You will unify the platform across disciplines and lead architectural reviews to propose balanced solutions for complex challenges.

The ideal candidate has over 10 years in creating large-scale systems, showcasing experience in various technologies including Kubernetes, Spark, and ML pipelines. This role is critical for improving performance and ensuring system observability.

Qualifications

• 10+ years of experience designing and building large-scale distributed systems, ML/AI infrastructure, or developer platforms.
• At least 3 years as a staff or principal-level engineer.
• Proven ability to design systems spanning web platforms and ML pipelines.

Responsibilities

• Design and evolve the platform's architecture for reliability and scalability.
• Unify the platform across various disciplines.
• Lead architectural reviews and propose balanced solutions.

Skills

Technical Leadership at Scale

Architectural Depth & Breadth

Reliability and performance

Hands-On Systems Design

Tools

Kubernetes

Spark

Ray

Airflow

MLflow

Job description

EngineersOfAI is seeking a seasoned technical leader to design and evolve the platform's architecture for reliability and scalability. You will unify the platform across disciplines and lead architectural reviews to propose balanced solutions for complex challenges.

The ideal candidate has over 10 years in creating large-scale systems, showcasing experience in various technologies including Kubernetes, Spark, and ML pipelines. This role is critical for improving performance and ensuring system observability.