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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