Staff Machine Learning Engineer - Search
Tasks
- Apply data security privacy governance and data testing best practices
- Build and scale multi layer serving architectures
- Communicate technical concepts through dashboards and data models
- Conduct design reviews and set engineering standards
- Contribute to ML and GenAI LLM platform technical strategy
- Design and implement intelligent search systems
- Drive evolution of ML and GenAI LLM platform capabilities
- Mentor engineers and improve reliability and automation
- Own continuous integration and delivery for data and ML systems
Perks/Benefits
- 401k matching
- Commuter benefits
- Fitness benefits
- Health insurance
- Mental health support
- Paid time off
- Pet insurance
Skills/Tech-stack
AWS | Airflow | Autocomplete | Automation | Azure | Bedrock | CCPA | Continuous Delivery | Continuous integration | Cost Optimization | Data Governance | Data Pipelines | Data Security | Data Structures | Data Testing | Databricks | Distributed Systems | Elasticsearch | Embeddings | Feature Engineering | Flink | GCP | GDPR | GenAI | Java | Kafka | LLM | Machine Learning | Online Decisioning | OpenSearch | Privacy | PyTorch | Python | Reliability Engineering | Retrieval-Augmented Generation | SageMaker | Scalability | Scikit-learn | Search & Ranking | Semantic Search | Spark | Streaming Data | System design | TensorFlow | Terraform | Typeahead | Vector Search
Education
N/A
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