Senior AI Engineer - ML System Evaluation Engineering
Location
- Mississauga, Ontario, Canada
Job Overview
We are seeking a highly motivated Senior AI Engineer to join our Computational Sciences organization. The focus of this role involves working on large-scale foundation models across biochemical modalities, multi-modal reasoning, and autonomous agent design, emphasizing scientific discovery, drug development, and complex decision-making pipelines.
Key Responsibilities
- Develop, deploy, evaluate, and scale LLM-based agents across different modalities.
- Work at the intersection of deep learning and large-scale optimization.
- Focus on:
- Evaluation and benchmarking of models
- Scaling and deployment
- MLOps practices
- Design, optimize, evaluate, and deploy state-of-the-art deep learning models (e.g., large language models, multi-modal transformers).
- Optimize model and data pipelines for performance and accuracy.
- Monitor and maintain deployed models to ensure optimal performance.
Qualifications
- Educational Background:
- Master's degree in Computer Science, Machine Learning, Data Science, or related fields.
Technical Skills
- Strong foundation in data structures, algorithms, software engineering principles.
- Proven experience with:
- Python and PyTorch programming.
- MLOps and model deployment.
- Large-scale distributed training and multi-GPU/cloud infrastructure.
- Passion for developing scalable, efficient, and well-documented software.
- Experience in biomedical AI and drug discovery is a plus.
- Excellent communication and collaboration skills.
Additional Notes
Join an exciting, multidisciplinary environment working alongside AI scientists, engineers, and computational biologists/chemists in a research-focused team.
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