Synthesia

3 months ago

Applied Research Engineer - Dubbing

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Staff Research Engineer in the Post-Training Team focusing on applying and optimizing diffusion-based generative models for producing realistic avatar video, with responsibilities spanning model adaptation, optimization, lip-sync evaluation, and staying at the forefront of diffusion/adversarial techniques.

Location: London

Workplace: Remote

Employment Type: Full time

Job Function: Education & Training

Seniority: Sr. Manager level

Key Responsibilities

•Join the Post-Training Team that works on generative video creation to apply foundational models to production use cases.
•Contribute to projects such as applying direct preference optimization (DPO) to pre-trained models and adapting models by changing conditioning inputs.
•Build solutions for dubbing and evaluate lip-sync quality; implement post-training optimization techniques (quantization, pruning, distillation) to improve diffusion model efficiency for avatar generation.
•Analyze and address model performance challenges to ensure high-quality avatar rendering.
•Stay updated with the latest research in diffusion models, adversarial networks, and post-training optimization methods.

Pay and Benefits

Perks:Remote WorkEquityAnnual Leave

Key Requirements

•3+ years of industry experience in Computer Vision or Computer Science.
•Knowledge of post-training techniques (e.g., distillation, adversarial networks, efficient attention).
•Experience with generative models for images and/or videos (Diffusion/GAN), preferably in the avatar domain.
•Interest in doing research, trying new things, and pushing the boundaries beyond current knowledge.
•Experience with modern ML/deep learning frameworks; strong Python coding skills; experience with SDLC tools (Git), preferably CI/CD.

Experience:3+ yearsGenerative AIComputer Vision

Skills:Problem-solvingCommunicationCollaboration

Languages:English

Tech Stack:PythonDiffusion modelsGANLip-syncQuantizationPruningDistillationConditioning inputsGitCI/CD

Company Brief

Synthesia

Provides an AI video generation platform that creates realistic synthetic presenters and video content from text, enabling enterprises to produce scalable training, marketing, and communications videos without cameras or actors.

Industry: AI & Machine Learning

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: London, United Kingdom

Founded: 2017

Website LinkedIn

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Synthesia

3 months ago

Applied Research Engineer - Dubbing

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: London

Workplace: Remote

Employment Type: Full time

Job Function: Education & Training

Seniority: Sr. Manager level

Key Responsibilities

•Join the Post-Training Team that works on generative video creation to apply foundational models to production use cases.
•Contribute to projects such as applying direct preference optimization (DPO) to pre-trained models and adapting models by changing conditioning inputs.
•Build solutions for dubbing and evaluate lip-sync quality; implement post-training optimization techniques (quantization, pruning, distillation) to improve diffusion model efficiency for avatar generation.
•Analyze and address model performance challenges to ensure high-quality avatar rendering.
•Stay updated with the latest research in diffusion models, adversarial networks, and post-training optimization methods.

Pay and Benefits

Perks:Remote WorkEquityAnnual Leave

Key Requirements

•3+ years of industry experience in Computer Vision or Computer Science.
•Knowledge of post-training techniques (e.g., distillation, adversarial networks, efficient attention).
•Experience with generative models for images and/or videos (Diffusion/GAN), preferably in the avatar domain.
•Interest in doing research, trying new things, and pushing the boundaries beyond current knowledge.
•Experience with modern ML/deep learning frameworks; strong Python coding skills; experience with SDLC tools (Git), preferably CI/CD.

Experience:3+ yearsGenerative AIComputer Vision

Skills:Problem-solvingCommunicationCollaboration

Languages:English

Tech Stack:PythonDiffusion modelsGANLip-syncQuantizationPruningDistillationConditioning inputsGitCI/CD

Company Brief

Synthesia

Industry: AI & Machine Learning

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: London, United Kingdom

Founded: 2017

Website LinkedIn