Staff Machine Learning Engineer
Tasks
- Build and deploy ML and AI models
- Build data pipelines and ensure data quality
- Build recommendation systems and forecasting models
- Continuously improve ML performance
- Deploy and monitor ML models
- Design production machine learning systems
- Design semantic data models for analytics
- Develop scalable AI solutions using LLMs and embeddings
- Implement MLOps practices for ML workloads
- Influence architecture and engineering standards
- Mentor engineers and provide technical leadership
- Operationalize end to end ML workflows
- Perform feature engineering and model training
Perks/Benefits
- 401k match
- Dental insurance
- Family planning resources
- Flexible vacation policy
- Fully remote
- Learning and development program
- Life insurance
- Medical insurance
- Vision insurance
- Work from home stipend
Skills/Tech-stack
CI/CD | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data models | Databricks | Deep learning | Embeddings | Feature Engineering | Forecasting | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | Python | Recommendation Systems | SQL | Semantic data | Semantic data models | Snowflake
Education
N/A
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