Machine Learning Engineer - Distributed ML Systems
Pluralis ResearchSan Francisco, California, United States
Posted April 1, 2026
Full Time
About the Company
Pluralis Research carries out foundational research on Protocol Learning, a mission to prevent corporate monopolization of model development, access, and release.
Job Description
Pluralis Research is looking for a Senior/Staff Machine Learning Engineer to work on distributed ML systems. The ideal candidate will have 5+ years of experience in distributed systems and ML large-scale training. The job involves implementing a novel substrate for training distributed ML models and designing and optimizing large-scale distributed training systems.
Requirements
- Distributed Training Architecture & Optimization
- Decentralized Networking & Resilience
- Strong experience building and operating distributed systems in production
- Hands-on expertise with distributed training frameworks
- Deep understanding of model parallelism
- Expert-level Python with production experience
- Strong networking fundamentals
- Experience optimizing GPU workloads, memory management, and large-scale compute efficiency
Benefits
- Equity-heavy compensation
- Competitive base salary
- Visa sponsorship available
- Remote-first work arrangement
- Optional access to company hub
- World-class team
- Backed by top investors