What are the responsibilities and job description for the Neuro-Symbolic AI Manager position at IPolarity?
Role: Neuro-Symbolic AI Manager
Location: Austin, TX
Job Type: Contract
Rate: Market Rate (rate is not an issue for right candidate)
Customer – NVIDIA
Key Responsibilities:
• Algorithm Development & Implementation:
o Design, develop, and optimize neuro-symbolic AI algorithms for real-world applications.
o Implement and evaluate AI models using real-world data.
o Ensure clean, efficient, and well-documented implementation of AI solutions.
• Research & Innovation:
o Lead technical discussions and ideation to enhance existing solutions.
o Collaborate with global research teams to advance neuro-symbolic AI methodologies.
• Leadership & Collaboration:
o Provide technical mentorship to AI researchers, engineers, and data scientists.
o Drive collaborations with academic and industry partners for AI advancements.
o Shape AI strategies and innovation roadmaps for product and service development.
Required Skills & Qualifications:
• Education: PhD in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Experience: 15 years of experience in AI research, software development, and neuro-symbolic AI applications.
• Programming Expertise:
o Strong proficiency in Python, Go, and related AI toolkits.
o Experience with neuro-symbolic AI frameworks such as PyG, PyKEEN, PyTorch.
• Domain Knowledge:
o In-depth understanding of knowledge representation, symbolic reasoning, and
machine learning.
o Strong grasp of graph neural networks, probabilistic logic, and hybrid AI models.
• Technical & Soft Skills:
o Proven ability to lead AI-driven projects from research to production.
o Excellent communication and collaboration skills to engage with multidisciplinary
teams.
Preferred Qualifications:
• Hands-on expertise in cloud-based AI deployment (AWS, Azure, or GCP).
• Familiarity with automated reasoning systems, logic programming, and explainable AI (XAI).
