Senior Research Engineer - Video Foundation Models (Pre - Training) in Switzerland at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Research Engineer - Video Foundation Models (Pre-Training) in Switzerland.

This role offers the opportunity to work at the forefront of generative AI, helping develop the next generation of foundation models for human-centric video creation. As part of a highly technical research and engineering team, you will tackle challenges in large-scale model training, distributed systems, inference optimization, and evaluation methodologies. Your work will directly contribute to production-grade AI systems used by thousands of organizations worldwide, transforming how businesses communicate through video. Operating in a fast-paced, outcome-focused environment, you will combine cutting-edge research with practical engineering to deliver real-world impact. The position is ideal for individuals who enjoy solving complex machine learning problems while maintaining a strong focus on scalability, reliability, and deployment. You will collaborate with world-class researchers and engineers to advance the capabilities of synthetic human video generation.

• Design, develop, and scale video foundation models focused on realistic, controllable, and expressive human-centric video generation.
• Build and optimize latent diffusion architectures and conditioning mechanisms for attributes such as pose, emotion, camera control, and script guidance.
• Advance distributed training strategies across multi-GPU and multi-node environments while improving training efficiency and stability.
• Develop and refine evaluation frameworks that combine automated metrics with structured human assessments.
• Optimize inference pipelines to improve latency, scalability, cost efficiency, and output quality for production deployment.
• Conduct rigorous experimentation, ablation studies, and performance analyses to guide model architecture and training decisions.
• Contribute to engineering best practices, including reproducibility, experiment tracking, monitoring, CI/CD, and infrastructure reliability.
• Collaborate closely with cross-functional teams to ensure research outcomes translate into measurable product impact.

Requirements:

• Strong experience training deep learning models at scale within production or research environments.
• Advanced proficiency in Python and PyTorch.
• Hands-on experience with diffusion models, particularly within image generation; video diffusion experience is highly desirable.
• Practical expertise in large-scale distributed training using multi-GPU and multi-node systems.
• Solid understanding of distributed learning frameworks such as DDP, FSDP, DeepSpeed, or similar technologies.
• Strong experimental design skills with the ability to interpret complex or noisy results and make data-driven decisions.
• Experience working with modern machine learning infrastructure, including CUDA, AWS, Docker, SLURM, and CI/CD workflows.
• Excellent communication skills with the ability to present technical findings clearly and scientifically.
• Ability to balance research exploration with product-focused execution and delivery.
• Experience with video diffusion models, avatar generation, world models, GANs, VAEs, or production inference optimization is considered a strong advantage.
• Self-driven mindset with the ability to work independently while collaborating effectively within distributed teams.

Benefits:

• Competitive compensation package including salary, bonus opportunities, and stock options.
• Fully remote work flexibility across Europe, with optional hybrid office access in select locations.
• 25 days of annual leave in addition to public holidays.
• Opportunity to work on cutting-edge generative AI technologies with real-world impact.
• High-ownership environment where research directly influences production systems and customer experiences.
• Access to a collaborative and technically exceptional team of AI researchers and engineers.
• Regular team gatherings, planning sessions, and social events.
• Additional location-specific benefits and perks.
• Career growth opportunities within a rapidly expanding AI organization.