Gen AI Model Artist

About the Role

We are looking for a GenAI Model Artist who specialises in training, fine-tuning, and deploying generative AI models to create hyperrealistic synthetic media. This role focuses on diffusion/generative workflows, identity preservation, cont rollability, realism, and (when relevant) temporal consistency for sequences. You will work closely with developers, VFX artists, and AI teams to push the boundaries of synthetic media and enhance the performance of our proprietary tools.

• Train and fine‑tune GenAI models to generate hyperrealistic synthetic media (image and/or video).
• Curate and prepare datasets specifically for generative training (identity coverage, lighting/pose balance, captioning/metadata, filtering, de‑duplication).
• Improve realism and likeness by iterating on fine‑tuning strategy (adapters/LoRA‑style approaches, full fine‑tunes where needed), and systematic evaluation.
• Diagnose and solve generative failure modes (identity drift, artifacts, texture issues, uncanny results, overfitting to subjects, prompt/conditioning sensitivity).
• Manage multiple training runs and track progress (prompt/eval sets, side‑by‑side comparisons, regression checks, experiment logs).
• Critically evaluate results with a focus on facial likeness, realism, consistency, and “production‑readiness.”
• Collaborate with R&D to innovate GenAI training techniques and integrate practical improvements into workflows.
• Stay current on emerging GenAI research, tools, and workflows; prototype creative implementations.
• Work with data scientists, software engineers, and product managers to translate creative/production needs into technical solutions.
• Monitor and optimise model performance for efficiency and quality (inference speed, VRAM, throughput, consistency).

• Proven experience with generative model training/fine‑tuning (Stable Diffusion‑family or similar; diffusion/GAN/transformer‑based generative).
• Strong dataset skills for GenAI (curation, balancing, subject coverage, filtering, evaluation sets).
• Familiarity with UNIX/Linux environments and GPU training workflows.
• Critical eye for facial likeness and visual quality; able to judge and explain issues clearly.
• Excellent teamwork and communication skills.
• Strong problem‑solving and out‑of‑the‑box thinking.
• Calm under pressure and able to meet deadlines.

• VFX or compositing experience (Nuke or similar), especially facial/beauty integration.
• Python + ML engineering experience (training automation, data pipelines, evaluation tooling).
• Experience with face‑swap systems and face workflows.