Salesforce is seeking Software Engineers for their Machine Learning Infrastructure team within Slack, focusing on architecting and operating core systems for AI and machine learning. The ideal candidates should have substantial experience in software engineering, particularly with distributed systems and modern ML stacks
Job Summary
Design, build, and operate systems to train, serve, and deploy machine learning models at scale, with a focus on reliability, performance, and operational simplicity.
Evolve GPU backed inference infrastructure to support high throughput, latency sensitive workloads, including large scale model serving.
Provide technical leadership through design reviews, mentorship, and by setting engineering standards and long term architectural direction for ML infrastructure.
Matching Summary
Match Score: 85
Salesforce is seeking Software Engineers for their Machine Learning Infrastructure team within Slack, focusing on architecting and operating core systems for AI and machine learning. The ideal candidates should have substantial experience in software engineering, particularly with distributed systems and modern ML stacks.
Salary
Base: $148,500 - $313,700 annually; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
distributed systems
Kubernetes
ML infrastructure
GPU infrastructure
data infrastructure
Nice-to-have
AI Platform
ML lifecycle
cloud native systems
Key Requirements
Significant professional experience in software engineering
Deep experience building and operating distributed systems
Hands on experience with modern ML infrastructure
Experience working with GPU infrastructure
Strong experience with data infrastructure and orchestration technologies
Experience building and operating cloud native systems
A demonstrated ability to drive technical direction