Fundamental AI Research Scientist - Toronto, Ontario
Tasks
- Analyze and fine tune experimental results
- Collaborate with biology researchers on wet lab experiments
- Communicate research findings through publications and presentations
- Compare effectiveness of AI systems
- Conduct fundamental AI research
- Design and run experiments to test hypotheses
- Develop machine learning models
- Implement and scale training and inference frameworks
- Mentor and participate in journal clubs and seminars
- Validate AI and ML approaches
Perks/Benefits
Skills/Tech-stack
Active Learning | Approximate Inference | Bayesian optimization | Bayesian statistics | Causal Inference | Computational Geometry | Control Theory | Deep learning | Federated Learning | Information theory | Language Models | Language Processing | Large Language Models | Learning algorithms | Machine Learning | Matplotlib | Meta Learning | Multi-task Learning | Natural Language | Natural Language Processing | NumPy | Pandas | Probabilistic Modeling | Probabilistic Programming | Probability theory | PyTorch | Python | Recommender Systems | Reinforcement Learning | Reinforcement learning algorithms | Representation Learning | Search and optimization | Semi-Supervised Learning | Semi-supervised | Series analysis | Statistical inference | Supervised Learning | TensorFlow | Time Series | Time Series Analysis | Transfer Learning | Unsupervised Learning
Education
Roles
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