Synthesia logo

Senior Machine Learning Engineer

Synthesia

About Synthesia

Synthesia is a leading AI video communications platform, trusted by companies like Zoom, Xerox, and Amazon. We are on a mission to make video creation easy for everyone, enabling businesses to communicate and share knowledge through video efficiently.

About The Role

As a Senior Machine Learning Engineer, you will join a team of over 40 researchers and engineers in the R&D Department, focusing on cutting-edge challenges in the Generative AI space. Your work will involve creating highly realistic, emotional, and life-like synthetic humans through text-to-video technology.

Responsibilities

  • Join research squads to solve challenging problems in building foundational models for human representation in video.
  • Design and implement high-quality solutions for deployment.
  • Research and develop solutions for audio/video data generation of humans in video.
  • Design methods and tools for data processing to create pre-training and fine-tuning datasets.
  • Investigate and propose new tools and infrastructure to accelerate model development.
  • Design and run experiments to evaluate model outcomes on large-scale compute clusters.
  • Deliver production-ready solutions for deployment in data and model training pipelines.
  • Take ownership of engineering developments necessary to ship new AI models into products.
  • Communicate and collaborate across research offices in London, Amsterdam, Munich, and Zurich.

Who You Are

We are looking for strong engineers with an audio/video background and experience in data processing for pre-training and fine-tuning, ideally in large model development for generative AI.

  • Excellent coding skills and experience in Python and PyTorch.
  • Some research experience in audio/video analysis or generative AI (Text, Speech, Video).
  • Track record in developing ML models and solutions from concept to delivering business impact.
  • Experience working as part of a highly productive development team, following and developing best practices.
  • MSc or PhD in computer science, computer vision, or related field.
  • Excellent verbal and written communication skills.

Benefits

  • Attractive compensation (salary + stock options + bonus).
  • Hybrid work setting with an office in Amsterdam.
  • Cycle to work salary sacrifice scheme.
  • 25 days of annual leave + public holidays.
  • Work in a great company culture with regular planning and socials.
  • A generous referral scheme.
  • Strong opportunities for career growth.

Join us at Synthesia and be part of a company that is transforming video communication across the globe.

Benefits
Extracted with AI

  • Attractive compensation (salary + stock options + bonus)
  • Hybrid work setting with an office in Amsterdam
  • Cycle to work salary sacrifice scheme
  • 25 days of annual leave + public holidays
  • Company culture with regular planning and socials
  • Generous referral scheme
  • Strong career growth opportunities

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