Senior Staff Machine Learning Engineer, Growth Platform Engineering
Tasks
- Build and productionize ML models
- Collaborate with product and data teams
- Create reusable ML systems
- Design and develop agentic systems
- Design testing frameworks for agent behavior validation
- Develop AI-powered solutions
- Develop batch and real time pipelines
- Implement feature engineering and model selection
- Improve model quality monitoring and upkeep
- Mentor and guide engineers
- Operate ML models and pipelines at scale
- Optimize model training and serving
- Orchestrate AI decisioning for personalization
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Airflow | Anomaly Detection | Artificial Intelligence | B testing | Batch Processing | Boosted Trees | Computer Vision | Data Pipelines | Deep learning | Experimentation | Feature Engineering | Gradient Boosted Trees | Kafka | Kubernetes | Language Processing | Machine Learning | Model selection | Natural Language | Natural Language Processing | Neural Networks | Optimization | Personalization | PyTorch | Real Time | Real-time Processing | Recommendation Systems | Search and Recommendation | TensorFlow | Time processing | Training-serving skew
Education
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