AIML - Senior Machine Learning Research Scientist, Generative AI
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Job Location:
Zürich - Switzerland
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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. Youll work across the entire AI development pipelinefrom designing multi-modal architectures to advancing decision-making evaluation and large-scale deployment to billions of devices 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.
- PhD/Masters degree or equivalent experience in Computer Science Computer Engineering or a closely related field.
- Deep expertise in generative AI architectures with hands-on experience training and scaling large language models (LLMs) and/or multimodal foundation models.
- Industry experience in developing training and deploying large-scale ML systems with emphasis on performance optimization.
- Strong background in deep learning and reinforcement learning including practical experience applying these methods to LLMs and foundation models.
- Proficiency in Python and modern ML frameworks (PyTorch TensorFlow JAX).
- Proven ability to analyze data diagnose bottlenecks and optimize large-scale models for performance and efficiency with creativity in solving complex technical challenges.
- Strong critical thinking collaboration and communication skills with the ability to convey complex concepts to both technical and non-technical stakeholders.
- Demonstrated industry experience delivering ML-driven product features at scale.
- Proven record in designing training and optimizing LLMs and/or multimodal foundation models at scale.
- Expert-level understanding of machine learning theory and practice with specialization in generative modeling and large-scale architectures.
- Research or applied experience in decision-making reinforcement learning and agentic reasoning.
- Proficiency in Python and major ML frameworks (PyTorch TensorFlow JAX) with advanced skills in debugging software design and distributed training.
- Strong research track record with peer-reviewed publications at leading AI/ML or NLP venues (e.g. NeurIPS ICML ICLR ACL).
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Machine Learning
- AI
- Bioinformatics
- Biochemistry
- Assays
- Research Experience
- Next Generation Sequencing
- Drug Discovery
- Research & Development
- Natural Language Processing
- Molecular Biology
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