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 via experiments, benchmarking, and ablations.
• Publish papers for leading ML conferences and journals.
• Collaborate with engineering to deploy research into production-ready training and inference systems.
• Monitor AI research and identify directions for future innovation.

🎯 Requirements

• Strong ML research background with focus on AI model architectures.
• Publications in NeurIPS/ICML/ICLR/COLM/ACL/EMNLP or arXiv.
• Deep understanding of neural nets, sequence modeling, attention, optimization.
• Hands-on experience with PyTorch or JAX.
• Ability to design rigorous experiments, analyze results, and communicate findings.
• Comfortable in a fast-moving startup with ownership.

🎁 Benefits

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