AI Researcher — AI Architecture Research

📋 Description

• Research and design novel AI model architectures beyond transformers.
• Identify techniques to improve scalability, efficiency, stability, and inference.
• Prototype architectures and validate with experiments, benchmarks, and ablations.
• Publish high-quality ML research for top conferences and journals.
• Collaborate with engineering to deploy research to production training and inference.
• Monitor AI advances and identify future directions.

🎯 Requirements

• Strong research background in ML with AI model architecture specialization.
• Publication track record in top ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.).
• Deep understanding of NN architectures, sequence modeling, attention, and training dynamics.
• Hands-on ML model development with PyTorch or JAX.
• Proven ability to design experiments, analyze results, and communicate findings.
• Comfortable in fast-moving, collaborative startup with ownership.

🎁 Benefits

• Fully remote position with flexibility and autonomy.
• Competitive compensation with meaningful equity.
• Influence next-gen AI architectures and research directions.
• Support for publishing impactful research in top conferences and journals.
• Close collaboration between research and engineering to deploy ideas quickly.
• Highly technical, collaborative, and innovative team culture.