Senior Applied Research Engineer - Video Team

Synthesia
London, Munich, Zurich
Workplace: RemoteFull timeFunction: Education & TrainingSkills: ["Communication","Problem-solving","Collaboration","Curiosity","Experimental design"]

Senior Research Engineer leading end-to-end applied research in video foundation models, focusing on latent diffusion models, conditioning for control (pose, emotion, script, camera), and scalable distributed training to deliver production-ready, low-latency video generation capabilities. Works across large-scale distributed systems, evaluation frameworks, and production tooling to impact real-world deployments for tens of thousands of businesses.

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Synthesia
Synthesia
4 months ago

Senior Applied Research Engineer - Video Team

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Last checked: 5 hours agoStatus: Live

Job Summary

Senior Research Engineer leading end-to-end applied research in video foundation models, focusing on latent diffusion models, conditioning for control (pose, emotion, script, camera), and scalable distributed training to deliver production-ready, low-latency video generation capabilities. Works across large-scale distributed systems, evaluation frameworks, and production tooling to impact real-world deployments for tens of thousands of businesses.
Location: London, Munich, Zurich
Workplace: Remote
Employment Type: Full time
Job Function: Education & Training
Seniority: Sr. Manager level

Key Responsibilities

  • •Developing and scaling latent video diffusion models tailored for human-centric video generation
  • •Designing conditioning mechanisms to improve control (pose, emotion, script, camera) without sacrificing fidelity
  • •Advancing distributed training strategies (DDP, FSDP, DeepSpeed, sequence parallelism) under real compute constraints
  • •Improving training stability at multi-node scale
  • •Designing rigorous evaluation frameworks combining automated metrics and structured human evaluation

Pay and Benefits

Equity and Bonus:Equity
Perks:Remote WorkEquityAnnual BonusPaid Leave

Key Requirements

  • •Strong experience training deep learning models at scale
  • •Strong Python and PyTorch skills
  • •Hands-on experience with diffusion models (image domain required; video preferred)
  • •Experience with large scale multi-GPU / multi-node training
  • •Good understanding of distributed training (DDP, FSDP, DeepSpeed or similar)
Experience:Generative AIVideo
Skills:CommunicationProblem-solvingCollaborationCuriosityExperimental design
Tech Stack:PythonPyTorchCUDADeepSpeedDistributed trainingAWSSLURMDockerGitHubCI/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
WebsiteLinkedIn