Job Description

Locations

• Zurich, Zurich, Switzerland 8301

Salary

Skills Required

• reinforcement learningintermediate
• large-scale language modelsintermediate
• planningintermediate
• reasoningintermediate
• agentic intelligenceintermediate
• RL techniquesintermediate
• multi-modal architecturesintermediate
• decision-makingintermediate
• evaluationintermediate
• large-scale deploymentintermediate
• building and scaling language modelsintermediate

Required Qualifications

• PhD/Master’s degree or equivalent experience in Computer Science, Computer Engineering, or a closely related field. (experience)
• Deep expertise in generative AI architectures, with hands-on experience training and scaling large language models (LLMs) and/or multimodal foundation models. (experience)
• Industry experience in developing, training, and deploying large-scale ML systems, with emphasis on performance optimization. (experience)
• Strong background in deep learning and reinforcement learning, including practical experience applying these methods to LLMs and foundation models. (experience)

Preferred Qualifications

• Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, JAX). (experience)
• Proven ability to analyze data, diagnose bottlenecks, and optimize large-scale models for performance and efficiency, with creativity in solving complex technical challenges. (experience)
• Strong critical thinking, collaboration, and communication skills, with the ability to convey complex concepts to both technical and non-technical stakeholders. (experience)
• Demonstrated industry experience delivering ML-driven product features at scale. (experience)
• Proven record in designing, training, and optimizing LLMs and/or multimodal foundation models at scale. (experience)
• Expert-level understanding of machine learning theory and practice, with specialization in generative modeling and large-scale architectures. (experience)
• Research or applied experience in decision-making, reinforcement learning, and agentic reasoning. (experience)
• Proficiency in Python and major ML frameworks (PyTorch, TensorFlow, JAX), with advanced skills in debugging, software design, and distributed training. (experience)
• Strong research track record, with peer-reviewed publications at leading AI/ML or NLP venues (e.g., NeurIPS, ICML, ICLR, ACL). (experience)

Responsibilities

• As a core member of our AI team, you will lead transformative progress in large-scale language models with a strong focus on reinforcement learning. Your mission is to push the boundaries of planning, reasoning, and agentic intelligence by developing and applying RL techniques to train and refine next-generation foundation models. You’ll work across the entire AI development pipeline—from designing multi-modal architectures to advancing decision-making, evaluation, and large-scale deployment to billions of devices worldwide.
• We are seeking a pioneering technical leader with a proven track record in building and scaling language models who is passionate about harnessing reinforcement learning to unlock new levels of reasoning, adaptability, and autonomy in AI.

Tags & Categories