Senior Research Engineer, Multimodal Reasoning and Media Forensics, DeepMind

Role Overview

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

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.
• Report and present research findings, software developments, experimental results, and data analysis clearly and efficiently.

Requirements & Qualifications

Minimum qualifications:

• PhD in Computer Science, AI, ML, a related field, or equivalent practical experience.
• 2 years of software development or ML research experience, or education equivalent credit (e.g., internships, student research, pre-graduate working experience) using Python and deep learning frameworks (e.g., Jax and TensorFlow, PyTorch), and experience building research prototypes and systems.
• 2 years of experience in training and deployment of large-scale models.
• 2 years of experience developing computer vision techniques or multimodal machine learning models.
• One or more peer-reviewed scientific publication submissions (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, CoRL) or public preprint repositories (arXiv).

Preferred qualifications:

• Demonstrated research in LLM reasoning, multimodal systems, RL/agents, robotics, or scientific AI.

Application Instructions

Apply directly on Google Careers at Senior Research Engineer, Multimodal Reasoning and Media Forensics, DeepMind↗.

Direct application sign-in: Submit Application↗

Note: Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.