Principal Machine Learning Engineer
Tasks
- Build model serving systems
- Build real time learning systems
- Design ML infrastructure for personalization and ranking
- Develop feature infrastructure for low latency decisions
- Drive cross team ML architecture alignment
- Implement data pipelines for ML models
- Improve streaming and real time learning infrastructure
- Lead zero to one technical initiatives
- Mentor engineers and raise engineering standards
- Scale distributed ML data systems
- Use AI tools for prototyping and validation
Perks/Benefits
- N/A
Skills/Tech-stack
Ad-Tech | Data Pipelines | Deep learning | Distributed Systems | Experimentation | Feature Engineering | High Throughput | High-Throughput Systems | Information Retrieval | LLM prompting | Language Models | Language Processing | Large Language Models | Large Scale Data | Large-scale | Low Latency | Low-Latency Systems | Machine Learning | Machine Learning Infrastructure | Model Serving | Natural Language | Natural Language Processing | Personalization | Ranking | Real Time | Real-time learning | Search | Streaming Data | System design | Technical leadership | Zero to One | Zero-to-one development
Education
N/A
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