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Synthesia

Create studio-quality videos with AI avatars and voiceovers in 140+ languages. Trusted by Reuters, BBC, Amazon and more.

Staff Research Engineer – Video Post Training

Research EngineerResearch EngineerFull TimeRemoteLeadTeam 501-1,000Since 2017H1B No SponsorCompany SiteLinkedIn

Location

United Kingdom

Posted

53 days ago

Salary

0

Seniority

Lead

Bachelor Degree3 yrs expEnglishPythonSDLC

Job Description

Staff Research Engineer – Video Post Training

Synthesia

• As a Staff Research Engineer you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space. • Focus on creating highly realistic, emotional and life-like Synthetic humans through text-to-video. • Work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 55,000 businesses. • Apply DPO (direct preference optimisation) to pre-trained models. • Adapt models to extend their capabilities, for instance, by changing conditioning inputs. • Build solutions for dubbing and evaluate the quality of lip-sync. • Implement post-training optimization techniques, such as quantization, pruning and distillation, to improve the efficiency of diffusion models used in avatar generation. • Analyze and address challenges related to model performance, ensuring high-quality output in avatar rendering. • Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods.

Job Requirements

  • You have a background in Computer Vision / Computer Science and 3+ years of industry experience.
  • You have knowledge of recent advancements in post-training techniques. (for instance distillation, adversarial networks and efficient attention)
  • You have worked with generative models for images and/or videos (Diffusion/GAN) preferably in the avatar domain.
  • You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known.
  • You have experience in using most modern frameworks for machine learning and deep learning.
  • You have great coding skills in Python and you care about writing clean code.
  • You have experience with SDLC tools (Git), preferably CI/CD

Benefits

  • Competitive compensation (salary + stock options)
  • Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.
  • 25 days of annual leave + public holidays
  • Great company culture with the option to join regular planning and socials at our hubs
  • + other benefits depending on your location

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