Machine Learning AI Engineering Co op

3 weeks ago


Toronto Montreal Calgary Vancouver Edmonton Old Toronto Ottawa Mississauga Quebec Winnipeg Halifax Saskatoon Burnaby Hamilton Victoria Surrey Halton Hills London Regina Markham Brampton Vaughan Kelowna Laval Southwestern Ontario R, Canada Promote Project Full time

About FirstPrinciplesFirstPrinciples is a non-profit organization building an autonomous AI Physicist designed to advance humanity's understanding of the fundamental laws of nature. Our goal for the AI Physicist is to achieve a breakthrough that unifies quantum field theory & general relativity and to explain the deepest unresolved phenomena in our universe by 2035. To do this, we're pioneering a new approach to scientific discovery by creating an intelligent system that can explore theoretical frameworks, reason across disciplines, and generate novel insights. We're a non-profit that operates like a tech start-up by moving quickly and continuously iterating to accelerate scientific progress. By combining AI, symbolic reasoning, and autonomous research capabilities, we're developing a platform that goes beyond analyzing existing knowledge to actively contribute to physics research.Job DescriptionWe're seeking Machine Learning / AI Engineering Co-ops for a full-time, 4-month term (January–April 2026). This remote role can be based anywhere in Canada. As a co-op, you will join a team focused on challenges at the intersection of scale, intelligence, and reasoning, contributing to the development of next-generation AI models and agentic frameworks for scientific discovery.Key ResponsibilitiesBuilding and optimizing large-scale data and model training workflows for pre-training pipelines.Experimenting with reinforcement learning from human feedback, reasoning benchmarks, and alignment methods for fine-tuning and evaluation.Designing and scaling multi-agent systems that coordinate reasoning tasks across specialized models for model orchestration.Contributing to internal frameworks that enable persistent, memory-augmented AI agents.Exploring neural-symbolic architecturesJob typeRemote jobTagssystemtrainingengineering #J-18808-Ljbffr


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