Staff Machine Learning Engineer
Tasks
- Build evaluation frameworks and benchmarks
- Build retrieval and ranking models
- Design semantic matching models
- Develop representation learning systems
- Drive ML model lifecycle data to deployment
- Monitor deployed models and improve continuously
- Optimize model performance
- Run experimentation and A B testing
- Train fine tune machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Approximate Nearest Neighbor | Approximate Nearest Neighbors | B testing | Data Processing | Distributed Training | Embeddings | Foundation Models | Hugging Face | Information Retrieval | JAX | LLM | Language Models | Large Scale Data | Large-scale | Large-scale Data Processing | Large-scale Model Training | Large-scale model | Learning-to-Rank | MLOps | Metric Learning | Model Training | Multi-Objective Optimization | Multimodal Foundation Models | Nearest neighbor | Nearest neighbors | Objective optimization | PyTorch | Python | Ray | Relevance metrics | Representation Learning | Spark | TensorFlow | Transformer Architectures | Vector Search | Vision Language Models | Vision-language
Education
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