AI Researcher — AI Architecture Research

📋 Description

• Research, design, and evaluate novel AI model architectures beyond Transformers.
• Improve model scalability, efficiency, stability, and inference performance.
• Prototype innovative architectures and validate with experiments, benchmarking, ablation.
• Publish research papers for leading ML conferences, journals, and preprints.
• Collaborate with engineering teams to productionize research for training and inference.
• Monitor AI research advances and identify promising directions.

🎯 Requirements

• Strong research background in ML, with specialization in AI model architecture.
• Publications in venues like NeurIPS, ICML, ICLR, COLM, ACL, EMNLP, or arXiv.
• Deep understanding of neural nets, sequence modeling, attention, optimization, and training dynamics.
• Hands-on experience with PyTorch or JAX.
• Proven ability to design experiments, analyze results, and communicate findings.
• Comfortable in fast-moving, collaborative startup with high ownership.

🎁 Benefits

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