Research Scientist, AI-powered Scientific Discovery

TL;DR

Research Scientist (AI): Leading efforts in developing novel algorithmic architectures towards Artificial General Intelligence and AI for Scientific Discovery with an accent on combining code execution and retrieval tools with natural-language scientific knowledge. Focus on designing, implementing, and evaluating general-purpose algorithms leveraging Large Language Models for efficient search and exploration, and pushing the boundaries of Reinforcement Learning methods for autonomous scientific discovery.

Location: Onsite in Montreal, Canada

Company

hirify.global is a team of scientists, engineers, and machine learning experts working to advance the state of the art in artificial intelligence for widespread public benefit and scientific discovery.

What you will do

• Design, implement, and evaluate models, agents, and software prototypes of large foundational models.
• Advance state-of-the-art Reinforcement Learning and machine learning optimization methods to build autonomous scientific discovery systems.
• Report and present research findings and developments clearly and efficiently both internally and externally.
• Suggest and engage in team collaborations to meet ambitious research goals.
• Work with external collaborators and maintain relationships with relevant research labs.
• Collaborate with Responsible AI teams to ensure ethical development and broad benefits of AI advances.

Requirements

• 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.
• English: B2 required.

Culture & Benefits

• Value diversity of experience, knowledge, backgrounds, and perspectives.
• Committed to equal employment opportunities regardless of sex, race, religion, or belief.
• Collaborative mindset to tackle ambitious research challenges.
• Opportunity to translate research into real-world products that improve scientific discovery.
• Focus on safety and ethics in AI development.