Senior Knowledge Graph Engineer for AI Development
hace 1 semana
Axiomatic_AI Mission:
Axiomatic_AI is a pioneering company accelerating R&D with Automated Interpretable Reasoning (AIR), a verifiably truthful AI model built for reasoning in science and engineering. We are seeking a skilled Data Scientist to join our dynamic team.
Job Description:
We require a strong background in semantic data management, ontologies, and synergizing large language models (LLMs) with knowledge graphs. This role demands a deep understanding of data structures, natural language processing, and working with complex datasets to derive actionable insights.
Responsibilities:
- Integrate and synergize LLMs with knowledge graphs to enhance data querying, interpretation, and analytics, focusing on scientific & engineering knowledge.
- Experience with TensorFlow, PyTorch, or JAX.
- Engage in the understanding of cutting-edge AI and machine learning methods.
- Communicate technical progress and obstacles effectively to both technical and non-technical team members.
- Work collaboratively with a team of machine learning researchers, scientists, and engineers.
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 integrating LLMs with knowledge graphs to enhance data utilization and insights.
- Proficiency in Python programming.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
Compensation Package:
We offer a competitive compensation package, including equity in a VC-backed startup, comprehensive benefits, flexible PTO policy, and an opportunity to work on pioneering projects that blend scientific research with practical hardware design.
Estimated Salary: $120,000 - $150,000 per annum
Culture and Environment:
We have a culture of learning & innovation ideal for professional development, a fast-paced, highly dynamic, and interdisciplinary work environment.
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