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