Staff Software Engineer, Machine Learning Platform
Tasks
- Arbitrate decisions balancing latency reliability cost security
- Build and operate large scale feature stores
- Define technical direction for ambiguous projects
- Design ML platform system architectures
- Design low latency model inference
- Design scalable CPU and GPU compute infrastructure
- Drive cross team technical initiatives for ML velocity and MLOps
- Drive real time monitoring and observability
- Lead AI and ML workflow orchestration
- Lead model training and LLM fine tuning solutions
- Mentor and grow engineers
- Own end to end architecture and system design
- Represent engineering to senior leadership on ML lifecycle
- Scope and lead large projects from requirements to production
- Translate user needs into functional requirements
Perks/Benefits
- N/A
Skills/Tech-stack
Accelerator Based Compute | Agent Orchestration | Data Pipelines | Data Systems | Distributed Systems | Experiment tracking | Feature Store | Fine Tuning | LLM Fine-tuning | Low Latency | MLOps | MLOps Maturity | Machine Learning | Model Evaluation | Model Inference | Model Serving | Model Training | Monitoring | Multi-Agent | Multi-agent orchestration | Observability | Real Time | Real Time Feature Computation | Retrieval-Augmented Generation | System Architecture | Training Data Pipelines | Training data | Workflow Orchestration
Education
N/A
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