Senior Applied Scientist

"The AI company that's revolutionizing Hollywood"
Flawless is transforming Hollywood with assistive AI.
Our tools empower filmmakers to edit, localize, and refine performances while preserving artistic intent.

Designed to support, not replace, artists, our technology expands what is possible on screen and gives creators freedom to tell stories with greater impact and reach audiences in new ways. From enabling seamless multilingual releases to eliminating the need for costly reshoots, Flawless solves critical challenges that slow down productions and limit distribution.

We are also setting the standard for ethical AI in entertainment. Our Artistic Rights Treasury (A.R.T.) is a rights management solution that protects artists and rights holders, ensuring that innovation moves forward with transparency and respect for creative ownership.

What we are looking for:
We're seeking a deeply technical, hands-on Applied Scientist/Computer Vision Engineer who thrives at the intersection of research and production. You'll work across our Character prep and "vubbing" group focussed in the development and optimization of our face perception, compositing and rendering pipelines. You'll collaborate closely with scientists, engineers, and artists to bring cutting-edge vision models into real-world workflows. The ideal candidate combines strong science, algorithmic and Machine learning backgrounds, with strong engineering instincts and a passion for delivering measurable product impact.

What you'll do:
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.

Drive innovation and performance

• 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.

Collaborate and lead cross-functionally

• 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.

Your Experience

• 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.

What Success Looks Like In 6 Months

• You've delivered measurable improvements in face detection and face ID clustering performance (≥20%), directly accelerating user workflows and enabling faster vub creation.

Interview Process:
At Flawless, our team and interview process want to help you show your best self. We'll dive into past projects and simulate working together.

Our interview process is three rounds with some casual Zoom (or in-person) coffee in between to get to know each other:

• Recruiting Screen: 30-45 minute call with our recruiting team (We want to discuss your interests and motivations as well as the practical details and make sure that Flawless would be a good fit for you)
• Hiring Manager Screen: 45-60 minute
• Skills Interviews: A small take home task to assess your coding ability, this will be followed by a follow up call to discuss your submission
• Team Interview: 2.5-3 hours onsite Interview where you will meet variety of your potential future colleagues

Your Recruiter and hiring manager will be your main point of contact and prepare you for interviews. You'll meet 4 to 6 people from across the business. (We make sure that you have time in each interview to ask them questions). If we don't give an offer, we'll provide feedback

Why work at Flawless?
You will be working in an environment based on trust, autonomy and collaboration, and this is a great opportunity for someone who wants to be part of a growing company in its most exciting stage of development. You can play a part in shaping the future of a company that's caring, creative and collaborative.

In addition to this, you'll also receive:

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

I don't meet all the listed requirements—should I still apply?
Absolutely Research shows that women and underrepresented groups often hesitate to apply unless they meet every qualification, but at Flawless, we actively work to break down those barriers. We believe diverse perspectives, experiences, and backgrounds make us stronger, and we are committed to supporting and elevating underrepresented talent. If you're excited about the role, share our values, and believe you can contribute meaningfully, we encourage you to apply—even if you don't meet every single requirement. Your unique skills and perspective matter, and we'd love to hear from you