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Ai Developer With Knowledge Graph Experience
hace 3 meses
Axiomatic_AI's mission:
Axiomatic_AI is readying to launch 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.
Job description:
We are seeking a skilled and experienced Data Scientist to join our dynamic team. The ideal candidate will have a strong background in semantic data management, ontologies, and synergizing large language models (LLMs) with knowledge graphs. This role requires a deep understanding of data structures, natural language processing, and the ability to work with complex datasets to derive actionable insights.
Responsibilities:
Integrate and synergize large language models (LLMs) with knowledge graphs to improve data querying, interpretation, and analytics, in particular focussed on scientific&engineering knowledge.
Experience with Tensorflow, Pytorch, or JAX
Actively engage in the understanding of cutting-edge AI and machine learning methods.
Effectively communicate technical progress and any obstacles encountered along the way to both technical and non-technical team members. Your communication skills will be key in facilitating transparent and productive discussions within the team.
Work collaboratively with a team of machine learning researchers, scientists and engineers. Your role involves sharing knowledge, brainstorming solutions, and contributing to a cohesive team environment to achieve project milestones and deliverables.
Qualifications:
Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Information Systems, or a related field.
Proven experience in semantic data management and ontology development.
Strong understanding of knowledge graphs and their applications in data analysis and interpretation.
Experience in integrating large language models with knowledge graphs (e.g. Neo4j) to enhance data utilization and insights.
Proficiency in programming language Python.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
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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