AI Researcher — AI Architecture Research

📋 Description

• Research, design, and evaluate novel AI model architectures beyond Transformers.
• Improve scalability, efficiency, training stability, and inference performance.
• Prototype architectures and validate with experiments, benchmarks, and ablations.
• Publish high-quality research papers in leading ML venues and journals.
• Collaborate with engineering to deploy research into training and inference systems.
• Monitor AI advances and shape the long-term research roadmap.

🎯 Requirements

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

🎁 Benefits

• Fully remote position offering flexibility and autonomy.
• Competitive compensation with meaningful equity participation.
• Define research direction and influence next-gen AI architectures.
• Strong support for publishing in leading conferences and journals.
• Close collaboration between research and engineering for rapid deployment.
• Highly technical, collaborative, innovative team culture.