AI Researcher — AI Architecture Research

📋 Description

• Research, design, and evaluate novel AI model architectures beyond Transformers.
• Investigate techniques to improve scalability, efficiency, stability, and inference.
• Prototype architectures and validate with rigorous experiments and benchmarks.
• Author and co-author papers for leading ML conferences and journals.
• Collaborate with engineering to deploy research into production training and inference.
• Monitor AI research to identify promising directions for future innovation.

🎯 Requirements

• Strong ML research background with AI model architecture.
• Publication record in NeurIPS/ICML/ICLR/ACL/EMNLP/arXiv.
• Deep understanding of neural networks, sequence models, attention, optimization.
• Hands-on experience with PyTorch or JAX.
• Proven ability to design experiments, analyze results, and report findings.
• Comfortable in a fast-moving, collaborative 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 in leading conferences and journals.
• Close collaboration between research and engineering for rapid deployment.
• Highly technical, research-focused team with innovative culture.