Senior ML Engineer
Tasks
- Apply statistical analysis
- Collaborate with product managers
- Communicate machine learning concepts
- Compute similarity measurement
- Conduct code review
- Deploy machine learning models
- Design machine learning models
- Develop embeddings
- Develop feature engineering
- Develop representation learning
- Drive model lifecycle management
- Ensure observability
- Experiment with machine learning
- Implement machine learning engineering best practices
- Implement machine learning models
- Implement semantic search
- Improve generalization
- Improve model accuracy
- Improve precision recall
- Integrate components into platform
- Monitor model performance
- Own research and prototyping
- Partner with platform teams
- Perform anomaly detection
- Practice responsible AI
- Support AI governance
- Test machine learning systems
- Translate research to production systems
Perks/Benefits
- 401k match
- Dental insurance
- Disability insurance
- Employee assistance program
- Flexible vacation
- Health insurance
- Life insurance
- Paid Holidays
- Paid parental leave
- Sick leave
- Vision insurance
Skills/Tech-stack
AWS | Airflow | Anomaly Detection | Bedrock | CI/CD | CloudBees | Code review | DBT | Embeddings | Feast | Feature Engineering | Go | Jenkins | Kafka | Language Processing | MLOps | Machine Learning | Model Monitoring | Model retraining | Modularization | Natural Language | Natural Language Processing | Observability | PyTorch | Python | Representation Learning | SQL | SageMaker | Scikit-learn | Semantic Search | Shell/Bash | Similarity Measurement | Snowflake | Statistical Analysis | TensorFlow | Testing
Education
N/A
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