Machine Learning AI Engineering Co op

About FirstPrinciples: FirstPrinciples 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 Description: We'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 Responsibilities: Depending on your strengths and interests, you might work on: - Building 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 architectures and applying LLMs to computational math problems.

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