Hybrid Senior Applied Scientist

at Flawless

• Job title: Senior Applied Scientist
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Python, PyTorch
• Location requirements: Hybrid, London, United Kingdom

About the role

• Applied Scientist developing machine learning models for computer vision in film production. Enhancing AI-driven rendering and perception systems for seamless workflows.

Responsibilities

• Develop and enhance rendering, perception and compositing systems
• Design, fine-tune and implement advanced face detection, clustering, and compositing algorithms for DE long form pipelines.
• Optimize and scale training and inference systems for high-volume video processing.
• Translate research breakthroughs into robust, efficient production code.
• Conduct rapid experiments on state-of-the-art architectures (Transformers, diffusion models, 3DGS) to improve robustness and accuracy.
• Evaluate, benchmark, and document model performance against production metrics.
• Identify and resolve bottlenecks in existing AI workflows.
• Partner with Science, Engineering, and Product team members to ensure seamless integration of AI modules.
• Mentor other scientists, engineers and Product folk and contribute to the technical roadmap for character prep & vubbing group.
• Advocate for scalable, production-ready solutions that directly enhance user experience.

Requirements

• Strong experience developing and applying computer vision or machine learning methods for visual understanding problems (e.g., face perception, motion/pose estimation, or video analysis).
• OR
• Experience developing neural rendering or 3D generation systems (e.g., novel view synthesis, scene reconstruction, or generative models for photorealistic rendering).
• A strong product mindset — motivated by building systems that deliver tangible value to users, not just technical novelty.
• Comfortable working at both the algorithmic and implementation levels, from model design and optimization to large-scale data processing and integration in production systems.
• Proficiency in Python, with a strong foundation in computer science and problem-solving.
• Expertise with deep learning frameworks (PyTorch) and vision tools (OpenCV).
• MSc/PhD in Visual Computing, Computer Science, or a related field, or equivalent professional experience.
• Hands-on experience with deep learning approaches such as Vision Transformers, GANs, diffusion models, VAEs, or emerging methods (e.g., 3DGS).
• Bonus points for:
• Experience developing multi-modal systems that integrate audio, text, and visual inputs.
• Experience working with cross-functional product and engineering teams.

Benefits

• Autonomy
• A hybrid working environment
• Competitive Salary
• All permanent employees receive generous stock options