AI Researcher — AI Architecture Research

📋 Description

• Research, design, and evaluate novel AI model architectures beyond traditional Transformers.
• Investigate techniques to improve scalability, efficiency, training stability, and inference.
• Prototype architectures and validate effectiveness via experiments, benchmarking, and ablations.
• Author papers for leading ML conferences, journals, and preprints.
• Collaborate with engineers to deploy research into production-ready training and inference.
• Monitor AI advancements and identify promising directions for future innovation.

🎯 Requirements

• Strong ML research background with AI model architecture specialization.
• Publication record in NeurIPS/ICML/ICLR/ACL/EMNLP or arXiv.
• Deep understanding of neural networks, sequence modeling, attention, optimization.
• Hands-on ML with PyTorch or JAX.
• Design experiments, analyze results, and communicate findings.
• Comfortable in fast-moving, collaborative startup environments with ownership.

🎁 Benefits

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