Senior Software Engineer - ML Infrastructure
Yesterday
Description
• Design and implement scalable infrastructure for AI deployment pipeline: • Build and maintain distributed compute clusters • Optimize resource allocation and automate AI deployment workflows • Implement CI/CD pipelines and automated testing for AI models • Scale cloud infrastructure focusing on distributed GPU training coordination and synchronization • Design observability systems to monitor system health and resource utilization • Collaborate with ML engineers to address infrastructure needs
Requirements
• 5+ years of software engineering experience, DevOps or ML Ops experience is a plus • Proven track record with data pipelines and distributed systems • Experience with cloud platforms (AWS/GCP/Azure) and container orchestration (Kubernetes) • Interest in ML/AI infrastructure (deep ML expertise not required)
Benefits
• Employee Stock Options • Paid time off • Medical/dental/vision insurance • Life insurance • Disability insurance • 401(k)
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