Opening. This role requires a passion for advancing information literacy through machine learning, focusing on assessing media trustworthiness (images, audio, and video) and exploring concepts like authenticity, provenance, and context.
What you'll do
This role requires a passion for advancing information literacy through machine learning, focusing on assessing media trustworthiness (images, audio, and video) and exploring concepts like authenticity, provenance, and context. Key responsibilities include rapid prototyping of ML techniques, exploratory data analysis, collaborating with product teams to drive research, and developing tools and frameworks to accelerate research.
- Plan and perform rapid prototyping of machine learning techniques applied to determining authenticity of media information.
- Undertake exploratory analysis to inform experimentation and research directions.
- Engage with product teams to drive the development of our research.
- Implement tools, libraries, and frameworks to speed up and enable new research.
What you need
- Master’s degree in Computer Science, Electrical Engineering, Science, or Mathematics, or equivalent experience.
- Applied experience with machine learning, preferably modern deep learning techniques (e.g., Transformers, Diffusion, LLMs).
- Programming experience.
- Quantitative skills in math and statistics.
- Experience exploring, analysing and visualising data.
