Develops and evaluates audiovisual generative AI technologies, prototypes proof-of-concept workflows, tests research developments, and builds scalable ComfyUI pipelines. The role manages training datasets, model tuning, inference environments, and custom nodes while collaborating with research, product, developers, and creatives. It also presents findings and trains artists across disciplines.
Gen AI Innovation specialists are experts in Audiovisual Generative AI with active engagement in its surrounding communities. They are responsible for identifying and evaluating cutting edge technologies and workflows, across both open and closed-source ecosystems, and independently prototyping POC implementations aligned with the company’s needs.
This team operates at the intersection of research and product/creative teams. Functioning as an applied extension of the research group, they follow research sprints serving as the first point of contact for implementing and testing in-house developments. While leveraging their domain expertise, and insights from product and creative collaborators, to offer the research department valuable context and well-informed proposals for potential new directions.
Key Responsibilities
- Identify and evaluate cutting-edge GenAI technologies and workflows across open and closed-source.
- Prototype proof-of-concept implementations aligned with company needs.
- Act as the first point of contact for implementing and testing in-house research developments.
- Offer research teams valuable context and informed proposals by leveraging product and creative insights.
- Build scalable ComfyUI workflows and help maintain a shared, evolving ComfyUI environment.
- Work as part of a multi disciplinary team to deliver across projects and products.
- Clearly present research findings to developers and creatives, highlighting strengths, weaknesses, and examples.
Must Haves
- Professional experience testing and training photoreal generative models, ideally with a focus on video applications.
- Comfortable setting up testing environments for model inference and training. Must be confident with Conda, git, dependency management, and have enough Python/PyTorch knowledge to adapt code to specific requirements.
- Proven experience at effectively implementing existing tools and techniques into wider custom pipelines and workflows.
- Comfortable managing large training datasets. Deep understanding of the effects captioning, curating and enhancing them has on the trained model.
- Comfortable tweaking model tuning hyperparameters, with an understanding of the effects these have on the trained model.
- Experience collaborating with developers (research teams as a bonus).
- Very proficient in ComfyUI. Comfortable building scalable workflows, creating custom nodes where needed, and maintaining a shared, evolving ComfyUI environment.
- Deep engagement and awareness of the Gen AI communities and offerings, across both open and closed-source spaces.
- Comfortable independently researching specific topics, gathering and clearly presenting findings to both developers and creatives - highlighting key strengths, weaknesses, backed by relevant examples.
- Comfortable onboarding and training artists from other disciplines to expand the wider Gen AI artist group.
Nice to Have
- Prior role in a research or RnD-focused environment.
- Professional background either as a creative or a developer in a visual field such as VFX, visual arts, or a visually-driven tech company.
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