Principal Category Theory Scientist
vor 4 Wochen
Principal Category Theory Scientist - AUS - Categorical Deep Learning
Remote·Full time
Company website
Apply for Principal Category Theory Scientist - AUS - Categorical Deep Learning
Help design and lead our categorical deep learning research programDescription
At Symbolica, we are building deep learning models which perform
structured reasoning
: manipulate structured data, learn algebraic structure in it, and do so with an interpretable and verifiable logic. To that end, we are developing new mathematical foundations for deep learning:
categorical deep learning
. We are now assembling a R&D lab of expert category theory and machine learning researchers to develop this theory and apply it to the problems of code synthesis and theorem proving. We are committed to fundamental ideas, but also their execution in practice.As a principal category theory scientist, you will help us expand, refine, and carry out our research & development program. You will help design internal company procedures, assist with financial planning, and staff teams developing and implementing the theory of categorical deep learning. This is a rare opportunity to work on an innovative and transformative project, and make significant contributions to the field of applied category theory and artificial intelligence. This is a high-impact role in which you will help shape the company; we are looking for advanced researchers and skilled leaders.Responsibilities:Lead the development and ownership of pioneering research projects in categorical deep learning, from conceptualisation to execution, while ensuring alignment with Symbolica's strategic objectivesAssist with staffing, financial planning and public engagement of the companyWork closely with category theorists and machine learning researchers, bridging the gap between state of the art research on deep learning architectures and their structural formulation in category theoryStay at the forefront of category theoretic advances, and ensure our deep learning models are grounded and coherent with respect to themGrow, lead and mentor a team of category theorists and machine learning researchersLead a team prototyping and validating theoretical models in code, demonstrating practical feasibilityWork simultaneously at different levels of abstraction - from understanding high-level categorical constructions to implementing low-level details of architecture in codePreferred qualifications:PhD in Mathematics, Computer Science, Machine Learning or similar disciplineIndustrial or academic experience leading a research/technical team, and implementing novel machine learning architecturesExpertise in category theory or type theory, and a strong interest in machine learningExceptional communication and interpersonal skillsExperience establishing the culture of early-stage organisationsLocation:Melbourne (preferred) or AUS remoteWe offer competitive compensation, including equity and health insurance. Salary and equity levels are commensurate with experience and location.
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Principal Category Theory Scientist
vor 4 Wochen
Melbourne, Österreich Symbolica VollzeitSymbolica AI Principal Category Theory Scientist - AUS - Categorical Deep Learning Remote·Full time Company website Apply for Principal Category Theory Scientist - AUS - Categorical Deep Learning Help design and lead our categorical deep learning research programDescription At Symbolica, we are building deep learning models which perform structured...
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