AI Researcher — AI Architecture Research

📋 Description

• Research, design, and evaluate AI model architectures beyond Transformer-based approaches.
• Investigate techniques to improve scalability, efficiency, training stability, and inference performance.
• Prototype architectures and validate via experiments, benchmarking, and ablation studies.
• Publish high-quality research papers for leading ML conferences and journals.
• Collaborate with engineering to deploy research into production-ready systems.
• Monitor advancements and define the long-term roadmap for next-generation AI models.

🎯 Requirements

• Strong research background in ML with a focus on AI model architectures.
• Publication record in NeurIPS/ICML/ICLR/ACL/EMNLP or arXiv.
• Deep understanding of neural networks, sequence modeling, attention, and training dynamics.
• Hands-on experience with PyTorch or JAX for ML development.
• Ability to design rigorous experiments, analyze results, and communicate findings effectively.
• Experience with non-Transformer architectures, long-context or state-space models.

🎁 Benefits

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