Advancing information literacy through machine learning, focusing on assessing media trustworthiness (images, audio, and video) and exploring concepts like authenticity, provenance, and context.
Requirements
- 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.
- Experience optimising large-scale training and fine-tuning large models.
- Experience working with large and noisy datasets.
- Expertise in computer vision or natural language understanding.
Responsibilities
- 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.
- Report and present research findings, software developments, experimental results, and data analysis clearly and efficiently.
- Collaborate with internal and external scientific domain experts.
Other
- Master’s degree in Computer Science, Electrical Engineering, Science, or Mathematics, or equivalent experience.
- Experience collaborating across fields.
- The US base salary range for this full-time position is between 141,000 USD - 202,000 USD + bonus + equity + benefits.
