Lead Ai Scientist

Axiomatic_AI's mission:Axiomatic_AI is launching with the aim to accelerate R&D by 'Automated Interpretable Reasoning' (AIR) -- a verifiably truthful AI model built for reasoning in science and engineering. Axiomatic_AI is hiring top talent interested in a future of human reasoning aided by -- not replaced by -- AI, and a future that empowers a new generation of innovators to solve important problems through deep-tech engineering in the semiconductor ecosystem.Responsibilities:Lead the design and implementation of advanced reasoning-AI architectures and algorithms for the physical sciences and engineering.Lead and expand Axiomatic_AI's Toronto site in coordination with the company's cofounders.Collaborate with microchip engineers and customers in the semiconductor industry to develop AIR.Translate project objectives into clear technical software requirements.Supervise approximately 5 team members in machine learning and chip design. Your role involves sharing knowledge, brainstorming solutions, and contributing to a cohesive team environment to achieve project milestones and deliverables.Collaborate with universities on developing selected aspects of the product.Establish effective workflows and processes, organizing projects.Qualifications:M.S. or Ph.D. degree (or equivalent) in Computer Science or a related field.Expertise in machine learning, deep learning, and natural language processing.Knowledge of AI algorithms and architectures.Familiarity with industry-standard AI tools and libraries.Excellent research and analytical skills.Excellent communication skills.Plus: Experience in developing and deploying AI solutions for real-world problems.Plus: Experience in working with large-scale datasets.What We Offer:A competitive compensation package, including equity in a VC-backed startup.Comprehensive benefits, and a flexible PTO policy.An opportunity to be part of a groundbreaking company from its stealth phase through to public launch and beyond.The opportunity to work on pioneering projects that blend scientific research with practical hardware design.A culture of learning & innovation ideal for professional development.A fast-paced, highly dynamic and interdisciplinary work environment.
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