Distinguished Engineer, Machine Learning Systems – Economy
Tasks
- Build ML pipelines and online feature stores
- Build infrastructure for training serving and evaluation
- Collaborate with GenAI teams on retrieval augmented generation
- Develop experimentation platforms
- Ensure ML system robustness observability and scalability
- Lead architecture for recommendation ranking and personalization
- Mentor senior engineers and build technical culture
- Optimize ML system performance
- Scale ML organization and define ML intelligence stack
- Set technical direction for ML systems
Perks/Benefits
- N/A
Skills/Tech-stack
Data Pipelines | Deep learning | Distributed Training | Embeddings | Experimentation | Feature Stores | GPU Acceleration | Generative AI | Inference Optimization | Language Models | Large Language Models | Low Latency | Low-latency serving | Machine Learning | Model Deployment | Observability | Personalization | Ranking | Recommendation Systems | Retrieval-Augmented Generation | Scalability | Transformers
Education
Roles
Director | Distinguished Engineer | Engineer | Technical Director
Regions
Countries
States
Cities
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