Research Scientist, Social Memory & Multi-Agent Reasoning

Google DeepMind; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

A leading AI research organization in Toronto is seeking a Research Scientist to lead innovative research into memory and reasoning architectures. You will design systems that enable agents to maintain long-term context, develop testing environments, and establish evaluation benchmarks. Ideal candidates will hold a PhD in a relevant field and have experience with Large Language Models and programming. This role promotes a diverse workplace and values distinct backgrounds and experiences.

Qualifications

• Experience training/fine-tuning Large Language Models.
• Good understanding of scaling laws and training challenges.
• Experience with Natural Language Processing is advantageous.

Responsibilities

• Design novel memory architectures for long-term context.
• Develop multi-agent environments to test social dynamics.
• Establish evaluation benchmarks for retrieval accuracy.
• Collaborate across disciplines for innovative solutions.
• Embed safety in memory retrieval systems.

Skills

Training Large Language Models

Proficiency in Python

Proficiency in C++

Education

PhD in Computer Science or related field

Job description

A leading AI research organization in Toronto is seeking a Research Scientist to lead innovative research into memory and reasoning architectures. You will design systems that enable agents to maintain long-term context, develop testing environments, and establish evaluation benchmarks. Ideal candidates will hold a PhD in a relevant field and have experience with Large Language Models and programming. This role promotes a diverse workplace and values distinct backgrounds and experiences.