AI Researcher — AI Architecture Research

📋 Description

• Research and design novel AI model architectures beyond Transformers.
• Investigate techniques to improve scalability, efficiency, stability, and inference.
• Prototype architectures and validate via experimentation, benchmarking, and ablations.
• Publish high-quality research papers for leading ML venues.
• Collaborate with engineering to deploy research into training and inference systems.
• Monitor AI advances and identify promising directions for future innovation.

🎯 Requirements

• Strong academic or industrial research background in ML with AI model architecture.
• Publication record in NeurIPS, ICML, ICLR, COLM, ACL, EMNLP, or arXiv.
• Deep understanding of neural networks, sequence modeling, attention, and training dynamics.
• Hands-on experience with PyTorch or JAX.
• Proven ability to design rigorous experiments, analyze results, and communicate findings.
• Comfortable in fast-paced, collaborative startup environments with ownership.

🎁 Benefits

• Fully remote position offering flexibility and autonomy.
• Competitive compensation package with meaningful equity participation.
• Opportunity to define research direction and influence next-gen AI architectures.
• Strong support for publishing impactful research in leading conferences.
• Close collaboration between research and engineering, enabling rapid deployment of new ideas.
• Highly technical, research-focused team with a collaborative culture.