Senior Machine Learning Engineer
Tasks
- Build machine learning models
- Classify cluster label and enrich internet observed assets and services
- Deploy and run model services in cloud or on prem
- Design feature pipelines and training datasets
- Develop applied machine learning workflows
- Evaluate model performance and confidence scoring
- Partner with teams to improve datasets and feedback loops
Perks/Benefits
- Dental insurance
- Equity
- Flexible PTO
- Health insurance
- Mental health support
- Parental leave
- Professional development stipend
- Remote work
- Retirement plan
- Vision insurance
Skills/Tech-stack
AWS | Accuracy | Anomaly Detection | Azure | Classification | Clustering | Confidence scoring | Data Pipelines | Experiment tracking | Feature Engineering | Feature Stores | GCP | Go | Kubernetes | MLOps | Machine Learning | Model Evaluation | Model Serving | Precision Recall Tradeoffs | Precision-recall | Precisión | Python | Recall | Statistical modeling | Supervised Learning | Unsupervised Learning
Education
N/A
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