AI Researcher — AI Architecture Research

📋 Description

• Research, design, and evaluate novel AI model architectures beyond Transformers.
• Improve scalability, efficiency, training stability, and inference.
• Prototype architectures and validate via experiments, benchmarking, and ablations.
• Publish high-quality research papers for top conferences and journals.
• Collaborate with engineering teams to productionize training and inference.
• Monitor AI advances to identify directions for future innovation.

🎯 Requirements

• Strong research background in ML, specializing in AI model architecture.
• Publications in NeurIPS/ICML/ICLR/ACL/EMNLP/arXiv.
• Deep understanding of neural networks, sequence modeling, attention, optimization, and training dynamics.
• Hands-on experience with PyTorch or JAX.
• Ability to design rigorous experiments and communicate results clearly.
• Experience with non-Transformer architectures, long-context models, state-space models.

🎁 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 a collaborative culture.