SnapshotThe roleTo succeed in this role, you will need to be passionate about advancing information literacy using machine learning and other computational techniques. You'll join an interdisciplinary team of domain experts, ML researchers, and engineers to research and build multimodal reasoning systems and Vision-Language Models (VLMs) to assess the trustworthiness of media (images, audio, and videos) on the internet.
Key responsibilities:- Plan and perform rapid prototyping of computer vision and multimodal machine learning techniques applied to determining authenticity of media information.
- Design and train multimodal models capable of complex visual reasoning.
- 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.
About youIn order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:
- PhD/Master's degree in Computer Science, AI, ML, or equivalent practical experience.
- At least 2 years of relevant experience developing computer vision techniques or multimodal machine learning models.
- Experience in software development using Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a proven track record of building high-quality research prototypes and systems.
- Quantitative skills in math and statistics.
- Experience exploring, analysing and visualising data.
In addition, the following would be an advantage:
- Experience in training and deployment of large-scale models.
- Experience with Video Understanding
- Experience with Large Language Models, prompt engineering, few-shot learning, post-training techniques, and evaluations.
- A proven track record of research or engineering achievements, such as publications in peer-reviewed conferences or journals.
When assessing technical background we will take a holistic view of the mix of scientific, ML and computational experience. We do not expect you to be an expert in all fields simultaneously.
The US base salary range for this full-time position is between 174,000 USD - 252,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
