23 remote English-speaking jobs in Canton of Ticino

Drive innovation in post-training methodologies for agentic behaviors and tool use in AI models. Refine pre-trained models to enable reasoning, planning, and autonomous tool invocation for real-world applications.

As a member of the AI model team, you will drive innovation in training and optimizing vision-language models. Responsibilities include designing and implementing post-training pipelines, developing datasets, and improving model efficiency. You will work across a wide spectrum of multimodal architectures integrating text and vision.

Drive innovation in multi-modal reinforcement learning to advance intelligent systems. Develop and scale reinforcement learning techniques within complex multi-modal architectures. Conduct research on reinforcement learning algorithms for multimodal models, including diffusion-based approaches for image and autoregressive models for multimodal understanding. Design and build reinforcement learning infrastructure that supports scalable, distributed training across multimodal systems. Develop and refine reward modeling strategies that improve training stability and mitigate reward hacking. Create and curate multimodal simulation environments and datasets to support robust training, evaluation, and benchmarking of reinforcement learning systems. Publish research findings in top-tier conferences.