Senior Machine Learning Engineer (Toronto)
Tasks
- Collaborate on data integration with partners
- Contribute to MLOps infrastructure for training deployment and monitoring
- Design and maintain machine learning pipelines for real time ad decisioning
- Implement experimentation systems for outcome optimization
- Participate in code reviews and system design discussions
- Translate business goals into model solutions
- Tune model performance and optimize production ML latency
Perks/Benefits
- Discretionary bonus
- Long-term incentive plan
- Medical/Dental/Vision insurance
- Vacation & paid time off
Skills/Tech-stack
A/B | A/B Testing | AWS | Airflow | B testing | Data Architectures | Experimentation Evaluation | Kubernetes | Latency optimization | MLflow | Model Monitoring | Multi-Armed Bandits | PyTorch | Python | Real Time | Real-time Inference | Snowflake | Spark | Streaming Data | Streaming data architectures | TensorFlow
Education
N/A
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