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 papers in top ML venues and arXiv.
• Collaborate with engineering to productionize training and inference.
• Define long-term research roadmap for next-gen AI models.

🎯 Requirements

• Strong ML research background with specialization in AI model architecture.
• Publications in NeurIPS, ICML, ICLR, COLM, ACL, EMNLP, or arXiv.
• Deep understanding of neural networks, sequence modeling, attention, and optimization.
• Hands-on experience with PyTorch or JAX.
• Design rigorous experiments, analyze results, and communicate findings.
• Comfortable in a 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 impactful research in leading conferences.
• Close collaboration between research and engineering enables rapid deployment.
• Highly technical, research-focused team with a collaborative culture.