Google DeepMind is looking to advance information literacy through AI & machine learning, focusing on assessing media trustworthiness (images, audio, and video) and exploring concepts like authenticity, provenance, and context.
Requirements
- Strong publication record in top machine learning and/or computer vision conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV).
- Expertise in one or more of the following areas: social impact of AI, reinforcement learning, multimodal agents, computer vision, natural language understanding.
- Experience with training, evaluating, and interpreting large language models.
- Experience working with large and noisy datasets.
- Proven ability to design and execute independent research projects.
Responsibilities
- formulating metrics
- simulations
- rapid prototyping of ML techniques
- exploratory data analysis
- collaborating with product teams to drive research
- developing tools and frameworks to accelerate research
- Design, implement, and evaluate experiments to provide clear answers
Other
- PhD in Computer Science, Statistics, or a related field.
- Passion for research on societal benefits and implications of the internet and AI with focus in information literacy.
- Experience collaborating across fields.
- The US base salary range for this full-time position is between 166,000 USD - 244,000 USD + bonus + equity + benefits.
