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AI Developer with knowledge graph experience
hace 2 semanas
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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