Senior Applied Scientist – Multimodal

Flawless

Applied Scientist developing scalable systems for audio/video dataset curation and lip sync model training. Collaborating with teams to enhance model performance and quality metrics in entertainment AI.

Posted 7/20/2026full-timeLondon • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing scalable audio/video dataset curation pipelines and lip sync model training workflows, with a strong foundation in Python and deep learning frameworks like PyTorch. Proficient in audio processing, 3D computer vision, and speech synthesis, with a focus on delivering value through effective collaboration and communication.

Highest-signal resume keywords

Python ProgrammingDeep Learning Frameworks (PyTorch)Audio Processing3D Computer VisionSpeech Synthesis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model DesignData ProcessingStatistical Methods for Signal ProcessingAudio-Visual LearningMultimodal FusionSpeech ProcessingDialog/Speaker DetectionSpeaker SeparationLip Sync Model TrainingQuantitative and Qualitative Metrics

Soft Skills

Outstanding Communication SkillsCollaboration

Tools & Technologies

OpenCV

Industry Keywords

Audio/VisualMultimodal Related FieldsVFXResearch Initiatives

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Develop repeatable, scalable audio/video dataset curation pipelines and lip sync model training workflows across multiple datasets
Train, fine-tune, and manage audio/video and lip sync model variants as model dependencies, data, and architectures evolve
Incorporate new datasets and model updates as they become available
Design, automate, and maintain audio/video datasets and lip sync metric testing pipelines
Generate new quantitative and qualitative metrics to evaluate audio/video and lip sync quality
Produce comparisons, visualizations, and analyses to inform research and product decisions
Partner closely with audio/video and lip sync researchers to support ongoing and future research initiatives
Validate audio/video and 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

Requirements

What you’ll need

MSc OR PhD + Industry experience working in the domains of Audio processing, 3D Computer Vision, Speech Synthesis, Computer Graphics, or other multimodal related fields such as text/audio, or audio/visual.
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 audio-driven face animation
Experience with speech processing and detection, such as dialog/speaker detection, speaker separation, and speech synthesis with deep neural networks
Outstanding communication skills for collaboration with scientists, research/ML engineers, and VFX artists.

Benefits

Comp & perks

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