At a Glance
- Tasks: Join us in revolutionising Hollywood with cutting-edge AI technology for filmmakers.
- Company: Flawless, an innovative AI company transforming the entertainment industry.
- Benefits: Enjoy a hybrid work environment, competitive salary, and generous stock options.
- Why this job: Make a real impact on film production while supporting artists' creative visions.
- Qualifications: MSc or PhD in relevant fields, strong Python skills, and a passion for innovation.
- Other info: Be part of a collaborative team shaping the future of ethical AI in entertainment.
The predicted salary is between 60000 - 80000 £ per year.
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 looking for a deeply technical, product-driven applied scientist to help scale and operationalize our ADFA and lip sync work. This role exists to support and amplify ongoing research by owning model training pipelines, metrics, evaluation, and data workflows. This will be ensuring our lip sync models improve reliably with every release. You’ll operate at the intersection of research and production, bringing rigor, automation, and clarity to how we validate and ship model improvements.
Responsibilities
- Model Development & Training
- Develop repeatable, scalable ADFA model training workflows across multiple datasets
- Train, fine-tune, and manage lip sync model variants as trackers, data, and architectures evolve
- Incorporate new datasets and model updates as they become available
- Evaluation, Metrics & Quality
- Design, automate, and maintain ADFA metric testing pipelines
- Generate new quantitative and qualitative metrics to evaluate lip sync quality
- Produce comparisons, visualizations, and analyses to inform research and product decisions
- Collaboration & Support
- Partner closely with ADFA researchers to support ongoing and future research initiatives
- Validate lip sync quality to improve out-of-the-box approval rates and reduce downstream cost and iteration time
- Collaborate with Science, Engineering, and Product teams to align research outputs with company goals
Qualifications
- MSc OR PhD + Industry experience working in the domains of 3D Computer Vision, Speech Synthesis, Computer Graphics, or related field
- Proficiency in Python, with a strong foundation in computer science and problem-solving.
- Expertise with deep learning frameworks (PyTorch) and vision tools (OpenCV).
- 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 optimisation to large-scale data processing and integration in production systems.
- High degree of proficiency in math and statistical methods for signal processing
- Experience with audio-visual learning, multimodal fusion, and/or 3D audio-driven face animation
- Experience with speech modeling and speech synthesis with deep neural networks
- Outstanding communication skills for collaboration with scientists, research/ML engineers, and VFX artists
Bonus points for
- Demonstrable research experience with a strong publication record in major 3D Computer Vision, Speech Processing, and Computer Graphics venues and journals (e.g., CVPR, SIGGRAPH, NeurIPS)
- Experience developing multi-modal systems that integrate audio, text, and visual inputs.
- Experience working with cross-functional teams
- Experience with generative and cross-domain attention models for 3D visual speech synthesis applications
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, will be followed by a conversation to discuss your work and how it could be improved.
- Team Interview: 2 hours onsite Interview where you will meet variety of your potential future colleagues. We will review your coding solution, discuss relevant papers and their application and have behavioural focussed round.
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.
Benefits
- 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 ❤️
Senior Applied Scientist - Multimodal employer: Flawless
Contact Detail:
Flawless Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Scientist - Multimodal
✨Tip Number 1
Get to know the company inside out! Research Flawless and its projects, especially their AI tools in filmmaking. This will help you tailor your conversations during interviews and show that you're genuinely interested in what they do.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. A friendly chat can sometimes lead to insider tips or even a referral, which can give you a leg up in the hiring process.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects in detail. Practising common interview questions can also help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to follow up! After your interviews, send a thank-you email to express your appreciation for the opportunity. It’s a nice touch that keeps you fresh in their minds and shows your enthusiasm for the role.
We think you need these skills to ace Senior Applied Scientist - Multimodal
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Applied Scientist role. Highlight your experience in 3D Computer Vision, Speech Synthesis, or any relevant fields, and show how your skills align with our mission at Flawless.
Showcase Your Projects: Don’t just list your qualifications; share specific projects that demonstrate your expertise in model training and evaluation. We want to see how you’ve tackled challenges and delivered results in past roles.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Flawless
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in Python and deep learning frameworks like PyTorch. Be ready to discuss your past projects in detail, particularly those related to 3D Computer Vision and Speech Synthesis, as these will be key topics during the interview.
✨Show Your Product Mindset
Flawless is looking for someone who can build systems that deliver real value. Prepare examples of how you've approached model training and evaluation with a focus on practical outcomes. Highlight any experience you have in collaborating with cross-functional teams to align research outputs with user needs.
✨Prepare for Collaboration
Since you'll be working closely with researchers and engineers, practice articulating your ideas clearly. Think about how you can validate lip sync quality and improve approval rates, and be ready to discuss how you would approach these challenges in a team setting.
✨Ask Thoughtful Questions
During your interviews, take the opportunity to ask insightful questions about Flawless's projects and goals. This not only shows your interest but also helps you gauge if the company culture aligns with your values. Remember, it's a two-way street!