ML Engineer GenAI Multi-Modal

Videodesign is a prestigious creative agency with its headquarters in Zurich Switzerland. International brands such as Intel Nike and Swatch are among our renowned clients. We create highquality commercial videos explanatory videos and motion design.

As a Machine Learning Engineer (MultiModal) you will be at the forefront of developing and deploying stateoftheart AI models focusing on diffusion architectures and multimodal systems. You have handson experience in training and finetuning models like Stable Diffusion and ControlNet and you thrive in implementing the latest research into practical applications.

This role requires not only a strong understanding of model training but also the ability to bring these models to production ensuring they perform reliably and efficiently.

Tasks

• Train and finetune advanced diffusion models such as Stable Diffusion Flux.1 and ControlNet to meet specific project needs.
• Implement and experiment with the latest research advancements including but not limited to LoRA DoRA and MMDiTs.
• Deploy machine learning models to production environments ensuring they are scalable efficient and maintain high performance.
• Collaborate with crossfunctional teams including data engineers and software developers to integrate models into the broader platform.
• Continuously monitor evaluate and optimize models in production applying updates and improvements as necessary.
• Stay current with the latest developments in the field of multimodal machine learning and diffusion models and actively contribute to the teams knowledge base.

Requirements

• Youre familiar with diffusion architecture and have independently trained and finetuned a SD finetune or a controller.
• You enjoy training and finetuning models but have no problem deploying machine learning models to production.
• Youre capable of implementing the latest research papers such as DoRA and MMDiTs.
• You have experience in deploying machine learning models to production environments with a solid understanding of the full ML lifecycle.
• Youre proficient in Python and have experience with machine learning frameworks such as PyTorch or TensorFlow.

Preferred Qualifications:

• Familiarity with MLOps practices and tools for continuous integration deployment and monitoring.
• Experience with cloud platforms (AWS GCP Azure) for scalable model training and deployment.
• Knowledge of data engineering practices particularly in managing and processing large multimodal datasets.
• Experience with implementing novel architectures and adapting research to fit specific practical needs.

Benefits

• Competitive attractive salary and benefits package.
• Opportunity to work on cuttingedge AI technology in a collaborative and innovative environment.
• Flexible working hours and remote work options.
• Possibility to actively shape the future together.
• Opportunities for professional growth and development.

If you are passionate about multimodal machine learning and eager to work on a transformative project we would love to hear from you. Please submit your resume a cover letter detailing your relevant experience and any portfolio or examples of your work.

Join us and be a part of a team that is shaping the future of AI!

We are an equalopportunity employer and value diversity at our company. We do not discriminate based on race religion color national origin gender sexual orientation age marital status veteran status or disability status.