Senior Machine Learning Engineer – Ads Engagement Modeling
| Company | |
|---|---|
| Location | Ontario, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- Proven track record of driving KPI improvements through strategic work in model architecture and feature engineering.
- 3+ years of experience building industry-level deep learning models.
- 3+ years of experience with mainstream ML frameworks, such as TensorFlow and PyTorch.
- 4+ years of hands-on experience with the full lifecycle of training, evaluating, testing, and deploying industry-level models.
- Experience iterating large-scale neural network models in a production environment is a must.
Responsibilities
- Build industry-level models for critical machine learning tasks, applying advanced modeling techniques.
- Research, implement, test, and launch innovative model architectures, including deep neural networks with advanced pooling and feature interaction designs.
- Conduct systematic feature engineering to transform diverse raw data from Reddit (dense, sparse, behavioral, content, etc.) into actionable features using techniques such as aggregation, embedding, sub-models, and more.
- Serve as a mentor and advocate across teams, fostering collaboration and knowledge sharing.
- Contribute meaningfully to the team’s strategic direction. We value everyone’s input and encourage active participation in shaping our future roadmap.
Preferred Qualifications
- Familiarity with the Ads domain is a strong plus.