Lead Machine Learning Engineer
Seattle, WA
USD 190K-260K Senior-level Full Time
Found 1d ago
Tasks
- Advocate for AI-first practices
- Build automated training and deployment pipelines
- Design ML platform components
- Develop real-time and batch feature engineering systems
- Establish MLOps standards
- Guide teams on ML systems development
- Improve model inference latency
- Lead machine learning projects
- Mentor engineers
Perks/Benefits
- Healthcare coverage
- Inclusive environment
- Remote flexibility
- Self-managed PTO
- Transportation subsidies
Skills/Tech-stack
Apache Spark | Cloud Native | Cloud-native infrastructure | Docker | Feature Engineering | Feature Stores | Functional Programming | Kafka | Kubernetes | ML Engineering | ML Infrastructure | MLflow | Machine Learning | Model Deployment | Model Monitoring | Model Serving | Presto | PySpark | PyTorch | Python | Terraform | XGBoost
Education
Language: en |
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