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Research Engineer, Multimodal Reasoning For Information Literacy
Summary by AIEngineer.careers
Research Engineer, Multimodal Reasoning For Information Literacy is a AI Research Engineer role (full-time). with Google DeepMind. in MOUNTAIN VIEW, US. Compensation shown: $174K–$252K. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
MOUNTAIN VIEW · US
$174K–$252K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from linkedin.com
Google DeepMind is seeking a Research Engineer to work on multimodal reasoning for information literacy. The role involves building vision-language models to detect manipulated media and ensure online information integrity. You'll collaborate with an interdisciplinary team and contribute to Google's flagship models like Gemini.
Responsibilities
- Plan and perform rapid prototyping of computer vision and multimodal machine learning techniques for media authenticity.
- 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 research into production.
- Implement tools, libraries, and frameworks to accelerate research.
- Report and present research findings, software developments, and experimental results.
- Collaborate with internal and external scientific domain experts.
Requirements
- PhD/Master's degree in Computer Science, AI, ML, or equivalent practical experience.
- At least 2 years of relevant experience in computer vision or multimodal machine learning.
- Proficiency in Python and deep learning frameworks (Jax, TensorFlow, PyTorch).
Google DeepMind
Greater London · GB · 5600+ employees
Google DeepMind is an artificial intelligence research laboratory and subsidiary of Alphabet Inc., formed by the merger of DeepMind and Google Brain. The company focuses on advancing the state of artificial intelligence to solve scientific and engineering challenges and develop general-purpose AI systems.
