Description

• 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.

About Us
We are DNEG, one of the world’s leading visual effects and animation companies for the creation of award-winning feature film, television, and multiplatform content. We employ more than 9,000 people with worldwide offices and studios across North America (Los Angeles, Montréal, Toronto, Vancouver), Europe (London), Asia (Bangalore, Mohali, Chennai, Mumbai) and Australia (Sydney).

At DNEG, we fundamentally believe that embracing our differences is a vital component of our collective success. We are committed to creating an equitable, diverse and inclusive work environment for our global teams, where everyone feels they matter and belong. We welcome and encourage applications from all, regardless of background, experience or disability. Please let us know if you need any adjustments or support during the application process, we will do our best to accommodate your needs. We look forward to meeting you!