Creative Technologist

About the Role

We are seeking a highly motivated Creative Technologist to join our Applied Research team reporting to the Head of Applied Research. The successful candidate will focus on advancing generative media research with a primary emphasis on image models while also contributing across video audio and 3D modalities.

In addition to core research this role will work directly with customers alongside our Revenue and Sales teams to design fine-tune and deploy custom models workflows and creative assets tailored to industries such as E-commerce VFX and other visual media. This is a hands-on position at the intersection of cutting-edge research and real-world application.

Responsibilities

• Collaborate with the Applied Research team to develop state-of-the-art generative media solutions with a strong emphasis on image models.
• Fine-tune and extend UNet and DiT architectures for generative tasks across multiple modalities (image video audio 3D).
• Work directly with customers to research design and deliver customized models workflows and creative assets for applications in E-commerce VFX and other visual media sectors.
• Implement and adapt novel techniques from research papers and repositories into practical high-quality code.
• Curate preprocess and design high-quality datasets for training and fine-tuning.
• Collaborate cross-functionally with Product Engineering and Commercial teams to ensure smooth integration of models into customer workflows.
• Stay at the cutting edge of generative modeling research incorporating advancements into both internal pipelines and customer-facing solutions.
• Evaluate benchmark and optimize models for quality diversity and efficiency in generative media applications.

Qualifications

• Proven experience with image models; knowledge of video audio or 3D generative models is a strong plus.
• Strong experience fine-tuning UNet and DiT architectures for generative tasks.
• Proficiency in Python with the ability to implement and customize code from research repositories.
• Solid understanding of machine learning concepts (formal ML background preferred but not required).
• Experience with Linux CUDA and PyTorch in a research or production setting.
• Demonstrated ability to create customer-specific generative solutions and workflows.
• Experience managing fine-tuning processes to improve model quality and diversity.
• Portfolio GitHub or prior work showcasing generative media or applied ML research particularly in E-commerce VFX or other visual media contexts is highly desirable.

Equal Employment Opportunity

We are an equal opportunity employer and do not discriminate on the basis of race religion national origin gender sexual orientation age veteran status disability or other legally protected statuses.