Staff Software Engineer, Machine Learning Platform
Tech Stack
Service-Oriented ArchitectureDistributed SystemsML PlatformModel TrainingModel ServingOrchestrationML Data SystemsAI ToolsDistributed ML Training SystemsAccelerator-Backed ComputeTraining Data PipelinesExperiment TrackingModel EvaluationLlmsLlm Application FrameworksAgentic AI PatternsRetrieval-Augmented GenerationAWSSagemakerBedrockDatabricksOpenai
Solid badges = required, outlined = preferred
Responsibilities
- Take ownership of end-to-end architecture and system design for large, complex projects across ML Platform.
- Define technical direction for highly ambiguous projects, transforming complex user needs into long-lasting platform strategy.
- Design system architectures for the most challenging ML Platform problems, including AI and ML workflow orchestration, scalable CPU and GPU compute infrastructure, model training, LLM fine-tuning, low-latency model inference, large-scale feature stores, real-time monitoring, and LLM and agent orchestration.
- Scope and lead large projects with significant business impact, driving them from requirements through design, implementation, and production operation.
- Mentor and grow other engineers, serving as a role model for designing, implementing, and operating great software systems.
Soft Skills
Product InstinctsWritten CommunicationCross-Functional Collaboration
Benefits
- Health Insurance
Culture
Mentorship ProgramCross-Functional Teams
Requirements
Regions: Us
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About Stripe
Industry: fintech
Size: large
Stripe is a financial infrastructure platform for businesses that helps companies accept payments, grow their revenue, and accelerate new business opportunities.
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