Engineering Manager, Data Science (AdTech)
Toronto, Ontario, Canada - Remote
R
USD 180K-225K Senior-level Full Time
Tasks
- Build value based bidding models
- Communicate model capabilities to stakeholders
- Coordinate with data platform for feature pipelines
- Deploy production deep learning inference pipelines
- Develop audience propensity modeling
- Develop lookalike modeling
- Establish MLOps for model versioning
- Implement drift detection
- Implement real time segmentation
- Lead deep learning system architecture
- Lead machine learning modeling initiatives
- Manage data science team hiring and mentoring
- Manage embedding layers and real time feature stores
- Own ROAS optimization
- Run experimentation for multi armed bandits
- Translate business requirements into ML solutions
Perks/Benefits
- 401k match
- Career growth opportunities
- Dental insurance
- Educational events
- Fully remote
- Health insurance
- Meal and catered lunch
- Networking events
- Pre-tax savings plans
- Vision insurance
- Volunteer activities
- Workplace events
Skills/Tech-stack
Agentic AI | Attention Mechanisms | Automation | Autonomous Agents | DCNv2 | DLRM | Deep learning | Drift Detection | Feature Engineering | Feature Stores | Low Latency | Low-Latency Systems | MLOps | MMoE | Machine Learning | Model versioning | Multi-Armed Bandits | ONNX | PyTorch | Python | Ranking and Retrieval | Real Time | Real-time Inference | Retrieval models | RoAS Optimization | Scikit-learn | Sequence Modeling | TensorFlow | TensorRT | Transformers | Two Tower Models | Two-Tower | Value-Based Bidding | Value-based | XGBoost
Education
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