Senior Machine Learning Engineer
SynthesiaAbout 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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