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 projectsQualifications:-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 datasetsWhat 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#J-18808-Ljbffr