Sr Staff Machine Learning Engineer
Tasks
- Build machine learning systems
- Build multi modal learning models
- Build real time ML model serving
- Build scalable ML pipelines
- Build vector search pipelines
- Collaborate with product and engineering teams
- Define model performance metrics
- Design machine learning models
- Develop LLM based relevance systems
- Develop contrastive learning systems
- Develop embedding based retrieval systems
- Develop transformer based models
- Evaluate model impact
- Implement personalized product discovery
- Implement query understanding
- Implement search ranking
- Implement semantic retrieval
- Improve model reproducibility
- Mentor engineering talent
Perks/Benefits
- 401k plan with match
- Employee assistance program
- Flexible spending account
- Health savings account
- Medical/dental/vision/life insurance
- Paid parental leave
- Paid time off
- Public holidays
Skills/Tech-stack
Airflow | Apache Spark | BigQuery | Cloud Computing | Contrastive Learning | Deep learning | Embeddings | H2O.ai | Information Retrieval | Java | Keras | Kubeflow | LLM | Language Processing | LightGBM | MLflow | Machine Learning | Multi-Modal | Multi-Modal Learning | Natural Language | Natural Language Processing | PyTorch | Python | Real Time | Real-time Serving | Recommendation Systems | SageMaker | Scikit-learn | Statistical modeling | TensorFlow | Transformer | Vector Search | Vertex AI | Weights and Biases | XGBoost
Education
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