Senior AI Research Scientist (m/f/d)

AMLZ Recruiting is the executive search brand of AMLZ GmbH, headquartered in Wiesbaden, Germany. We specialize in placing exceptional professionals and executives with leading companies worldwide. Backed by a global network and deep industry expertise, we connect top talent with innovative organizations across a wide range of sectors.

Our client is a globally operating advanced-intelligence R&D company near Shanghai, China. Their mission is to push the boundaries of modern AI by uniting large-scale engineering with frontier research. The organization brings together international teams working across foundation models, multi-agent systems, intelligent automation, and high-performance computing, building platforms designed for real-world scale from day one.

It is one of the few environments where cutting-edge AI research can transition into full industrial deployment within months - not years. With access to ambitious projects, significant compute resources, and a fast-moving R&D culture, the company provides a setting where scientists and engineers can explore bold ideas and see them translated into high-impact applications across multiple domains.

This role begins in March 2026 with a remote-first setup. The initial phase is fully remote to align goals and establish research workflows. After that, on-site collaboration in China is optional and arranged only by mutual preference. Compensation is globally competitive, with generous housing and participation allowances for any agreed on-site involvement.

Key Responsibilities

• Conduct applied research on LLMs, multimodal models, and multi-agent architectures.

• Develop efficient, robust algorithms for reasoning, prediction, and optimization.

• Build experimentation frameworks for alignment, evaluation, and human/AI feedback loops.

• Design training pipelines for small- and large-scale model development.

• Collaborate with engineering to deploy models in high-performance, production environments.

• Publish internal technical notes or contribute to external research when appropriate.

• Explore methods in synthetic data generation, foundation-model adaptation, and model compression.

Your Profile

• Ideally holding a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics (or related quantitative field), or equivalent industry research experience.

• Ideally 3+ years in machine learning/deep learning/LLMs or adjacent advanced AI research.

• Proficient in Python; experience with PyTorch or JAX.

• Understanding of reinforcement learning, multi-agent systems, probabilistic/Bayesian methods, or large-scale training.

• Curiosity-driven mindset, strong problem solving, and the ability to work cross-functionally.

• English is the working language; additional languages are a plus.

We Offer

• Remote-first setup with flexible relocation options by mutual agreement.

• Competitive global compensation package.

• Housing and family allowances for any agreed on-site participation.

• Access to advanced compute (GPU clusters, distributed training systems).

• Opportunity to work on frontier AI with real-world impact in a fast-moving environment.

• A multilingual, multicultural team across Europe and Asia.

How to Apply

Please submit your CV directly via LinkedIn.

We will screen all applications and contact selected candidates for next steps.

Full application documents will only be requested from shortlisted candidates.