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AI Research Engineer

Silimind?s AI Research team is dedicated to advancing artificial intelligence by exploring AGI, reinforcement learning, adversarial AI defenses, and ethical AI practices.

Description

About the Role:

As an AI Research Engineer, you will develop and evaluate state-of-the-art AI models, focusing on AGI, reinforcement learning, and AI alignment methodologies.

Responsibilities:

– Conduct cutting-edge research on AGI, reinforcement learning, and AI safety.
– Develop novel AI architectures and evaluate model alignment strategies.
– Analyze adversarial AI threats and implement defensive measures.
– Collaborate with engineers and scientists to deploy research breakthroughs into real-world
applications.
– Optimize deep learning models for efficiency and scalability.
– Publish research findings and contribute to AI ethics discussions.

Required Qualifications:

– Strong expertise in AI, deep learning, and machine learning frameworks (PyTorch, TensorFlow).
– Background in AGI research, reinforcement learning, or adversarial AI.
– Experience with large-scale model training and evaluation.
– Proficiency in Python, along with AI-related libraries.
– Passion for AI safety, alignment, and ethics.

Preferred Qualifications:

– Published research in top AI conferences or journals.
– Experience with AI governance and policy implications.
– Familiarity with multi-agent AI systems.

Why Join Us?

– Work on groundbreaking AI research and AGI advancements.
– Collaborate with world-class AI researchers and engineers.
– Flexible work environment and career growth opportunities.
– Contribute to ethical AI development and innovation.

Application form

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