Staff ML Systems Engineer: Scalable Distributed Pipelines

Medium; Irvine (CA); On-site; USD 170,000 - 200,000; Full time

Benefits offered by this job

Comprehensive benefits

Equity participation

Opportunity for advancements in AI and robotics

Job summary

Medium is looking for a Senior / Staff ML Systems Engineer in Irvine, California, to design and build distributed infrastructures that power large-scale machine learning workflows. The ideal candidate has over 5 years of experience in distributed systems and strong Python proficiency.

You will work closely with ML and data engineering teams to create efficient production-grade workflows and establish best practices for machine learning infrastructure. The role offers a competitive salary range of $170,000 - $200,000 annually, along with comprehensive benefits.

Qualifications

• 5+ years of experience in distributed systems or large-scale data processing.
• Strong Python skills with performance optimization experience.
• Expertise in system design for scalability and reliability.

Responsibilities

• Design scalable distributed machine learning pipelines.
• Architect distributed execution systems for workload scheduling.
• Develop abstractions and frameworks to simplify pipeline development.

Skills

Distributed systems

Python programming

Data pipeline design

Machine learning platforms

Tools

Ray

Spark

Kubernetes

PyTorch

Job description

Medium is looking for a Senior / Staff ML Systems Engineer in Irvine, California, to design and build distributed infrastructures that power large-scale machine learning workflows. The ideal candidate has over 5 years of experience in distributed systems and strong Python proficiency.

You will work closely with ML and data engineering teams to create efficient production-grade workflows and establish best practices for machine learning infrastructure. The role offers a competitive salary range of $170,000 - $200,000 annually, along with comprehensive benefits.