AI Researcher — AI Architecture Research

📋 Description

• Research, design, and evaluate novel AI model architectures beyond Transformer basics.
• Improve model scalability, efficiency, training stability, and inference.
• Prototype innovative architectures and validate via experiments and ablations.
• Author or co-author papers for top ML conferences and journals.
• Collaborate with engineers to productionize training and inference.
• Monitor AI research and identify promising directions.

🎯 Requirements

• Strong ML research background with AI model-architecture focus.
• Publication record in NeurIPS/ICML/ICLR/COLM/ACL/EMNLP/arXiv.
• Deep understanding of neural nets, sequence modeling, attention, optimization.
• Hands-on experience with PyTorch or JAX.
• Proven ability to design rigorous experiments and analyze results.
• Comfortable in a fast-moving startup with ownership.

🎁 Benefits

• Fully remote position offering flexibility and autonomy.
• Competitive compensation with meaningful equity.
• Opportunity to define research direction and influence AI architectures.
• Strong support for publishing impactful research.
• Close collaboration between research and engineering for rapid deployment.
• Highly technical, research-focused team with collaborative culture.