AI Artist for Hyperrealistic VFX — Train & Tune Models

Workman Labs; Greater London; Ibrido; GBP 70.000 - 120.000; Tempo pieno

Descrizione del lavoro

DNEG VFX in London is seeking a researcher to train and fine-tune ML models for hyperrealistic synthetic media, with emphasis on facial likeness and realism. You will curate datasets, collaborate with R&D, and apply in-house and open-source tools in a fast-paced VFX environment.

Ideal candidates bring proven ML training experience (GANs/Stable Diffusion), UNIX/Linux familiarity, and strong teamwork with a passion for cutting-edge AI workflows.

Competenze

• Proven experience training ML models (GANs, Stable Diffusion, or similar).
• Familiarity with UNIX/Linux environments.
• Critical eye for facial likeness and visual quality.
• Excellent teamwork and communication skills; strong problem-solving.

Mansioni

• Train and fine-tune ML models to generate hyperrealistic synthetic media.
• Curate, manage, and optimise datasets for high-quality, lifelike outputs.
• Diagnose and solve challenges using in-house and open-source technologies.
• Manage multiple model training processes simultaneously and track progress.
• Critically evaluate results with a focus on facial likeness and realism.
• Collaborate with R&D on model training techniques; stay on top of emerging AI research, tools, and workflows.

Conoscenze

GANs training

Stable Diffusion

UNIX/Linux

Facial likeness

Python

Teamwork

ML programming

Strumenti

Nuke

Descrizione del lavoro

DNEG VFX in London is seeking a researcher to train and fine-tune ML models for hyperrealistic synthetic media, with emphasis on facial likeness and realism. You will curate datasets, collaborate with R&D, and apply in-house and open-source tools in a fast-paced VFX environment.

Ideal candidates bring proven ML training experience (GANs/Stable Diffusion), UNIX/Linux familiarity, and strong teamwork with a passion for cutting-edge AI workflows.