- 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.
- Collaborate with universities on developing selected aspects of the product
- Establish effective workflows and processes, organizing projects
- M.
- 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
- 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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Lead AI Scientist + Hirgin now - Toronto, Canada - Axiomatic-AI
Description
Lead AI Scientist + Hirgin now industryAxiomatic_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:
Qualifications:
D. degree (or equivalent) in Computer Science or a related field
What We Offer:
Lead AI Scientist + Hirgin now professionals in Toronto
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Himank Pande
Technical Program Manager at Amazon Web Services
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Mayank Bhatia
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Arya Arimbooth
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Lakshmanan Sivakumar
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