Neuro-Symbolic AI ManagerÂ
Neuro-Symbolic AI ManagerÂ
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Job Description
Job Title: Neuro-Symbolic AI Manager
Location: Redmond WA (initial Remote can be discussed during interview)
Job Type: Contract (12 Months likely extension)
Position Overview
We are seeking few accomplished Neuro-Symbolic AI Manager to lead advanced research and productization efforts in hybrid AI systems that combine machine learning with symbolic reasoning. This role blends deep technical leadership with hands-on algorithm design working at the forefront of explainable and high-performance AI solutions.
Key Responsibilities
1. Technical Leadership & Strategy
- Define and drive the organizations neuro-symbolic AI roadmap in alignment with business objectives.
- Lead AI-driven initiatives from research concept through scalable production deployment.
- Mentor and guide multidisciplinary teams of AI researchers engineers and data scientists.
2. Algorithm Design & Implementation
- Architect develop and optimize neuro-symbolic AI algorithms for mission-critical real-world use cases.
- Implement and evaluate hybrid AI models using large real-world datasets.
- Ensure efficient clean and well-documented code following industry best practices.
3. Research & Innovation
- Collaborate with global research teams academic institutions and industry partners to advance neuro-symbolic AI methodologies.
- Publish and present technical findings at top AI conferences and journals.
- Lead technical ideation to enhance and evolve existing AI solutions.
Required Qualifications
- Education: PhD in Computer Science Artificial Intelligence Data Science or closely related field.
- Experience: Minimum 15 years in AI research software development and applied neuro-symbolic AI.
- Programming Expertise: Advanced proficiency in Python and Go with hands-on experience using neuro-symbolic AI toolkits such as PyG PyKEEN and PyTorch.
- Domain Knowledge: Deep understanding of knowledge representation symbolic reasoning and machine learning.
- Strong background in graph neural networks probabilistic logic and hybrid AI architectures.
- Leadership & Soft Skills: Proven track record leading large-scale AI initiatives with exceptional communication and cross-functional collaboration skills.
- Hands-on experience deploying AI systems on Azure.
- Familiarity with automated reasoning systems logic programming and explainable AI (XAI) principles.
- Experience with scalable microservices architectures for AI solutions.
Employment Type
Full-time
