Senior Research Engineer, Synthesia

• You will be someone who loves to code and build working systems
• You are used to working in a fast-paced start-up environment
• You will have experience with the software development life cycle, from ideation through implementation, to testing and release
• You will also have extensive knowledge and experience in Computer Vision domain
• You will also have experience within Generative AI space (GANs, Diffusion models and the like!)
• You have a background in Computer Vision / Computer Science and 3+ years of relevant experience
• You have excellent coding skills in Python and you love writing clean code. You are very passionate about the software development side of things!
• You are a git wizard and you are able to own CI/CD across the team’s repos
• You are interested in model deployment and serving on Cloud infrastructure (Docker / AWS)
• You have researched / worked with Generative Models (incl. Diffusion models) - you know all the best practices and approaches
• You are interested in doing research, trying new things and finding out what "sticks"!
• You are capable of building user-facing APIs that expose a range of Computer Vision features as a service
• You know C++ and you are not afraid to occasionally get your hands dirty with it
• You have excellent verbal and written communication skills and you are passionate about what you do!

Desirable

• We are looking for a Research Engineer, with passion for working on cutting edge problems that can help us create highly realistic, emotional and life-like synthetic humans through text-to-video
• You will join a group of more than 50 Researchers and Engineers in the R&D department and will have the opportunity to collaborate with multiple research teams across diverse areas, our R&D research is guided by our co-founders - Prof. Lourdes Agapito and Prof. Matthias Niessner and director of Science Prof. Vittorio Ferrari
• In this position, you'll be working at the heart of the dynamic Avatar Video Team helping with the research and development of our generative avatar performance abilities
• In other terms, given conditioning signals such as audio, video or text you will be helping create models that guides the avatar’s verbal and non verbal cues
• You will also help us create high quality, production ready code and take ownership of production pipelines. This would include:
• Building libraries to accelerate the iteration speed during development (abstracting common functionality, automating tests sweeps, visualising results etc.)
• Developing, maintaining and deploying Computer Vision algorithms and models to update our product, integrating CI/CD
• Taking ownership of the full ML lifecycle from concept, development, testing, validation to deployment
• Adapting off-the-shelf solutions for the purposes of our product
• Contribute to a high-quality codebase, develop tests where necessary, and participate in code reviews
• Writing clean and efficient code, and defining best practices both in the code base you own and in adoption of the tools you build
• Optimising for deployment - turning prototypes into working solutions
• Developing production quality software, our teams work “full stack” with the ability to deliver direct to product and impact the world