AI Researcher — AI Architecture Research

📋 Description

• Research, design, and evaluate novel AI model architectures.
• Improve model scalability, efficiency, training stability, and inference.
• Prototype architectures and validate with experiments and ablations.
• Author or co-author papers for major ML venues.
• Collaborate with engineering to productionize research.
• Monitor advances and identify future AI directions.

🎯 Requirements

• Strong research background in ML, specializing in AI model architecture.
• Publication record at NeurIPS/ICML/ICLR/COLM/ACL/EMNLP/arXiv.
• Deep understanding of neural networks, sequence modeling, attention, optimization.
• Hands-on experience with PyTorch or JAX.
• Design rigorous experiments, analyze results, and communicate findings.
• Experience with non-Transformer architectures and memory-efficient AI.

🎁 Benefits

• Fully remote position with flexibility and autonomy.
• Competitive compensation with meaningful equity.
• Opportunity to define research direction and influence AI architectures.
• Support for publishing impactful research in top conferences.
• Close collaboration between research and engineering for rapid deployment.
• Highly technical, collaborative, innovative culture.