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Prototyping & Innovation; Develop rapid prototypes, demos, and proof-of-concepts using in-market generative AI models and tools; Support business decision-making, project scoping, and adoption of emerging AI technology; Primary focus on AI tools for visual storytelling, including imagery and video; Testing & Evaluation; Build tooling and methodologies to evaluate emerging AI models, APIs, and platforms; Assess prototype quality, controllability, performance, and production readiness; Debug, refine, and iterate on prototypes with minimal technical supervision; Optimization & Adaptation; Optimize and adapt existing state-of-the-art AI models for quality, efficiency, and usability; Perform model fine-tuning (e.g., LoRA training) where appropriate; The role does not require training models from scratch; Cross-Functional Collaboration; Partner closely with creative, production, and technical teams; Iterate solutions based on stakeholder feedback and evolving creative needs; Provide technical requirements and direction to vendors or external partners when applicable; Documentation & Communication; Document technical learnings, workflows, and best practices; Communicate complex technical concepts clearly to non-technical stakeholders; Present work and outcomes to senior leadership when required; WCore Expectations; Hands-on technical role (not a project manager or business analyst position); Ability to: Work deeply with generative AI video models; Use tools such as Comfy UI; Write and modify code; Perform model fine-tuning (e.g., LoRA); Strong communication skills are critical, including executive-level presentations
Job Responsibility:
Develop rapid prototypes, demos, and proof-of-concepts using in-market generative AI models and tools
Support business decision-making, project scoping, and adoption of emerging AI technology
Primary focus on AI tools for visual storytelling, including imagery and video
Build tooling and methodologies to evaluate emerging AI models, APIs, and platforms
Assess prototype quality, controllability, performance, and production readiness
Debug, refine, and iterate on prototypes with minimal technical supervision
Optimize and adapt existing state-of-the-art AI models for quality, efficiency, and usability
Perform model fine-tuning (e.g., LoRA training) where appropriate
Partner closely with creative, production, and technical teams
Iterate solutions based on stakeholder feedback and evolving creative needs
Provide technical requirements and direction to vendors or external partners when applicable
Document technical learnings, workflows, and best practices
Communicate complex technical concepts clearly to non-technical stakeholders
Present work and outcomes to senior leadership when required
Requirements:
3+ years of experience in software engineering, AI/ML engineering, or production technology
Proven adaptability across different tools, platforms, and technologies
Experience supporting creative, media, or film production environments
Technical proficiency with generative AI models for imagery and video
Strong problem-solving skills with limited supervision
Comfortable working in creative, ambiguous, and iterative environments
Strong collaboration skills across creative and technical teams
Experience with Comfy UI
Familiarity with film and TV production workflows and pipelines
Experience with real-time or game-engine technologies (e.g., Unreal, Unity)
Bachelor’s degree in Computer Science, Machine Learning, or a related field