Staff Machine Learning Engineer 2, Ads
Tasks
- Build ad targeting and relevance systems
- Build embedding-based retrieval systems
- Build machine learning pipelines
- Build multimodal learning systems
- Collaborate with product, engineering, and data science teams
- Define model impact metrics
- Design machine learning models
- Develop optimization algorithms
- Develop personalized product discovery
- Drive LLM based search relevance
- Ensure model reproducibility
- Ensure model scalability
- Ensure production operational excellence
- Foster experimentation and continuous learning
- Implement query understanding
- Implement semantic retrieval
- Improve search ranking
- Mentor engineering talent
Perks/Benefits
- 401k plan with company match
- Dental insurance
- Disability insurance
- Electric car charging
- Employee assistance program
- Flexible spending account
- Health savings account
- Life insurance
- Medical insurance
- Paid parental leave
- Paid time off
- Pre-tax commuter benefits
- Public holidays
- Vision insurance
Skills/Tech-stack
AWS | Airflow | Amazon SageMaker | Apache Spark | BigQuery | Cloud Computing | Cloud platform | Contrastive Learning | Deep learning | Embeddings | Google Cloud | Google Cloud Platform | H2O.ai | Information Retrieval | Java | Keras | Kubeflow | Language Models | Language Processing | Large Language Models | LightGBM | MLflow | Machine Learning | Natural Language | Natural Language Processing | PyTorch | Python | Recommendation Systems | SageMaker | Scikit-learn | Search & Ranking | Statistical modeling | TensorFlow | Transformer Models | Vector Search | Vertex AI | XGBoost
Education
Regions
Countries
States
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