Staff Machine Learning Engineer - Ads
Tasks
- Build machine learning pipelines
- Build machine learning systems for ad targeting
- Collaborate with product, engineering, and data science teams
- Define model performance metrics
- Design optimization algorithms
- Develop machine learning models
- Drive innovation with large language models
- Ensure ML reproducibility scalability and operational excellence
- Evaluate model impact
- Implement personalized product discovery
- Implement query understanding systems
- Implement semantic retrieval systems
- Improve ad relevance and ranking
- Mentor and grow engineering talent
Perks/Benefits
- 401k plan with company match
- AD&D insurance
- Disability insurance
- Electric Car Charging Station
- Employee assistance program
- Flexible spending accounts
- Health savings account
- Life insurance
- Medical/dental/vision/life insurance
- Paid parental leave
- Paid time off
- Pre-tax commuter benefits
- Public holidays
Skills/Tech-stack
AWS | Airflow | Apache Spark | BigQuery | Cloud Computing | Cloud platform | Contrastive Learning | Deep learning | Embedding Models | Google Cloud | Google Cloud Platform | H2O.ai | Information Retrieval | Java | Keras | Kubeflow | Language Models | Large Language Models | LightGBM | MLflow | Machine Learning | Multi-Modal | Multi-Modal Learning | PyTorch | Python | Query Understanding | Recommendation Systems | SageMaker | Scikit-learn | Statistical modeling | TensorFlow | Transformer Models | Vector Search | Vertex AI | XGBoost
Education
Regions
Countries
States
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