Trains and develops generative ML models at DNEG VFX to create hyperrealistic visual outputs, working with developers, VFX artists, and AI teams to enhance the studio's proprietary tools.
Location
London, United Kingdom
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Seniority
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Compared with 15 other Research roles: Common across similar roles Unique to this role
What you'll do
Responsibilities
- 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 Common
- Critically evaluate results with a focus on facial likeness and realism Unique
- Collaborate with R&D on model training techniques; stay on top of emerging AI research, tools, and workflows Common
What you'll need
Experience
- Proven experience training ML models (GANs, Stable Diffusion, or similar) Common
- Familiarity with UNIX/Linux environments Unique
- Critical eye for facial likeness and visual quality Unique
- Excellent teamwork and communication skills; strong problem-solving
- Bonus: VFX or compositing experience (Nuke), Python and ML programming, face-swap workflows
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