At a Glance
- Tasks: Train and fine-tune GenAI models to create hyperrealistic synthetic media.
- Company: Join a cutting-edge tech company pushing the boundaries of synthetic media.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on creativity and technical excellence.
- Why this job: Be at the forefront of AI innovation and make a real impact in the creative industry.
- Qualifications: Experience with generative model training and strong dataset skills required.
The predicted salary is between 36000 - 60000 £ per year.
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, controllability, 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.
Responsibilities
- 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).
Must Have
- 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.
Nice to Have
- 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.
Gen AI Model Artist employer: DNEG
At DNEG, we pride ourselves on being an exceptional employer, particularly for those passionate about digital Creature technology. Our collaborative work culture fosters creativity and innovation, allowing Software Developers to thrive while working alongside talented artists and technologists in a dynamic environment. With a commitment to employee growth and development, we offer opportunities to influence cutting-edge VFX and animation technologies, making this an exciting place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Gen AI Model Artist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant forums, and attend events. The more connections we make, the better our chances of landing that Gen AI Model Artist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your generative AI projects. We want to see your best work, so make sure it highlights your training and fine-tuning expertise.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to generative models and synthetic media. We should be ready to discuss our problem-solving strategies and how we tackle challenges in model training.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Gen AI Model Artist
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with generative model training and fine-tuning. We want to see how you've tackled challenges in the past, especially with diffusion models or similar tech. Don't hold back on showcasing your dataset skills too!
Tailor Your Application:When applying, tailor your CV and cover letter to reflect the specific requirements of the Gen AI Model Artist role. Use keywords from the job description to demonstrate that you understand what we're looking for and how you fit the bill.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experiences. Avoid jargon unless it's relevant to the role – we want to know what you can bring to the table!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about StudySmarter and what we do!
How to prepare for a job interview at DNEG
✨Know Your Models Inside Out
Make sure you’re well-versed in the generative models relevant to the role, like Stable Diffusion or GANs. Be ready to discuss your experience with training and fine-tuning these models, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Dataset Skills
Prepare to talk about your approach to curating and preparing datasets for generative training. Highlight specific examples where you balanced identity coverage and lighting/pose, and explain how you filtered and evaluated your datasets to ensure quality.
✨Demonstrate Problem-Solving Prowess
Think of examples where you diagnosed and solved generative failure modes, such as identity drift or texture issues. Be ready to explain your thought process and the steps you took to improve realism and likeness in your models.
✨Collaboration is Key
Since this role involves working closely with developers and VFX artists, be prepared to discuss your teamwork and communication skills. Share experiences where you translated creative needs into technical solutions and how you collaborated on projects to push boundaries in synthetic media.
