Engineering Manager, Machine Learning
Tasks
- Act as player coach for ML team
- Communicate technical work to cross functional partners
- Define model requirements and datasets
- Design evaluation frameworks
- Develop and train ML models
- Drive end-to-end ML system development
- Ensure code quality and reproducibility
- Establish best practices for modeling and experiment design
- Integrate and scale models in production
- Lead rigorous experimentation and model evaluation
- Maintain observability and monitoring
- Optimize inference efficiency
- Own production level data pipelines and performance analysis
- Provide technical leadership and management
- Recruit and mentor technical talent
- Support production deployment of models
Perks/Benefits
Skills/Tech-stack
Data pipeline | Experiment design | Inference Optimization | Language Models | Language Processing | Large Language Models | Machine Learning | Model Architecture | Model Evaluation | Model Training | Monitoring | Natural Language | Natural Language Processing | Observability | Production Deployment | Python | Reproducibility
Education
Regions
Countries
States
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