J

AI Researcher — AI Architecture Research

Jobgether • Switzerland
Remote
This Job is No Longer Active This position is no longer accepting applications

This role involves researching, designing, and evaluating novel AI model architectures beyond traditional Transformer-based approaches in a research-driven Swiss team. The researcher will prototype innovative architectures, author high-quality research papers, and collaborate with engineering teams to translate breakthroughs into production-ready systems. Candidates must have a strong research background in machine learning with a demonstrated publication record and deep understanding of neural network architectures.

Key Highlights
Research and design novel AI model architectures beyond Transformers
Author and co-author research papers for leading ML conferences and journals
Collaborate with engineering teams to deploy research into production systems
Key Responsibilities
Research, design, and evaluate novel AI model architectures beyond traditional Transformer-based approaches
Investigate new techniques to improve model scalability, computational efficiency, training stability, and inference performance
Prototype innovative architectures and validate their effectiveness through rigorous experimentation, benchmarking, and ablation studies
Author and co-author high-quality research papers for leading machine learning conferences, journals, and preprint platforms
Collaborate closely with engineering teams to translate research breakthroughs into production-ready training and inference systems
Monitor emerging advancements in artificial intelligence research and identify promising directions for future innovation
Contribute to defining the long-term research roadmap and influence the evolution of next-generation AI models
Technical Skills Required
Machine Learning PyTorch JAX
Benefits & Perks
Fully remote position offering flexibility and autonomy
Competitive compensation package with meaningful equity participation
Strong support for publishing impactful research in leading conferences and journals
Nice to Have
Experience with non-Transformer architectures, long-context models, state-space models, hybrid architectures, or memory-efficient AI systems
Familiarity with efficient training techniques, inference optimization, open-source research contributions, or production AI systems

Job Description

Join a research-driven team dedicated to advancing the next generation of artificial intelligence through innovative model architecture design. In this role, you'll explore novel approaches to machine learning, bridging cutting-edge theoretical research with practical deployment in production environments. You'll collaborate with experienced researchers and engineers to develop, evaluate, and optimize new AI architectures that push the boundaries of performance, scalability, and efficiency. This is an exciting opportunity for researchers who are passionate about publishing impactful work while seeing their ideas translated into real-world AI systems. If you thrive in a highly technical, fast-paced environment and enjoy tackling fundamental AI challenges, this role offers exceptional scope for innovation and professional growth.
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