We are seeking a Research Scientist to join our team in Montreal dedicated to AI for Scientific Discovery. The team studies systems that combine code execution and retrieval tools with natural-language scientific knowledge to accelerate new scientific discoveries.
Research includes, but is not limited to, general-purpose algorithms that leverage Large Language Model (LLMs) for efficient search and exploration, LLM fine-tuning with Reinforcement Learning, and open-ended tasks for large-scale AI-powered empirical research.
Responsibilities:
- Design, implement, and evaluate models, agents, and software prototypes of large foundational models.
- Push the boundary of state-of-the-art RL methods and machine learning optimization methods to build autonomous scientific discovery systems.
- Report and present research findings and developments, including status and results, clearly and efficiently both internally and externally, verbally and in writing.
- Suggest and engage in team collaborations to meet ambitious research goals.
- Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.
- Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.
About you:
- PhD in Computer Science, Artificial Intelligence, or a related field.
- Strong publication record in top-tier machine learning conferences or journals.
- Solid understanding of deep learning, natural language processing, and/or reinforcement learning.
- Experience with Large Language Models, preferably in the context of code synthesis.
- Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.
- A real passion for AI!
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