Senior Machine Learning Engineer
CAD 150K-188K (estimate) Senior-level Full Time
Tasks
- Apply state of the art machine learning techniques
- Build data pipelines
- Build model pipelines
- Build production ML systems
- Conduct machine learning research
- Contribute to ML strategy and architecture
- Deploy machine learning systems
- Design production machine learning models
- Develop content understanding representations
- Develop user understanding representations
- Evaluate and align LLMs
- Evaluate machine learning models
- Fine-tune LLMs
- Implement automated retraining
- Improve model quality metrics
- Improve prediction systems
- Improve search relevance
- Monitor model performance
- Optimize advertising systems
- Optimize latency and throughput
- Optimize ranking and recommendations
- Own ML lifecycle
- Perform feature engineering
- Serve machine learning models
- Train machine learning models
Perks/Benefits
- 401k match
- Caregiving support
- Family planning support
- Flexible vacation
- Gender-affirming care
- Healthcare benefits
- Mental health and coaching
- Paid parental leave
- Paid volunteer time off
- Professional development
Skills/Tech-stack
Advertising Auctions | Airflow | Automated retraining | BigQuery | Convolutional Neural Networks | Data Pipelines | Data Processing | Deep learning | Distributed Systems | Feature Engineering | Fine Tuning | Go | Graph Neural Network | Graph Neural Networks | Java | Kafka | Knowledge Distillation | LLM Alignment | LLM Evaluation | Low Latency | Low-Latency Systems | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model Optimization | Model Serving | Model Training | Neural Network | Neural Networks | PyTorch | Python | RAG | Random Forests | Ray | Recommender Systems | Redis | Scalable pipelines | Search & Ranking | Spark | TensorFlow | Transformers | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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