Axiomatic-AI
Lead AI Scientist
Axiomatic-AI, Boston, Massachusetts, us, 02298
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
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