Research Engineer, Media Integrity
Google DeepMind
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.
Job Description
About Google DeepMind
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Snapshot of the Role
This Research Team at Google DeepMind tackles challenging research problems in online information quality. We develop cutting-edge solutions to detect and understand various forms of misleading presentations of information and manipulated media and their online discourse. Our work spans information quality and integrity, provenance analysis, and development of tools for AI-assisted investigations. We utilize machine learning and Google's powerful tools to combat misinformation and create a safer online environment. We move fast, directly launching with trusted testers for rapid iterations. In addition to published research, our innovations land in various Google products and flagship models like Gemini.
The Role of Research Engineer, Media Integrity
We are seeking a talented and highly motivated Research Engineer to join our team on the forefront of multimodal information quality and media integrity. You will be working alongside a multi-faceted world-class team of researchers and engineers to conduct cutting-edge research and advance the next generation of multimodal AI systems that help info seeking, deliberation and user understanding. You will focus on developing and implementing algorithms for assessing the quality and reliability of the investigations, and detecting anomalous patterns of activity.
Key Responsibilities
- Drive projects by defining key research questions
- Design, implement, and evaluate experiments to provide clear answers
- Collaborate with other researchers on joint projects
- Contribute to real-world impact, by landing your research in Google products and services.
- Publish research findings in top academic conferences and journals
- Stay up-to-date with the latest advancements in the field
About You
You are a passionate and talented researcher with a strong theoretical foundation, a proven ability to conduct impactful research, and a passion for delivering real-world impact via responsible AI. In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:
- PhD or Master's degree in Computer Science, Statistics, or a related field.
- Strong publication record in top machine learning conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV) or demonstrated experience driving exceptional research in relevant engineering roles.
- Expertise in one or more of the following areas: social impact of AI, reinforcement learning, multimodal agents, computer vision, user ranking/assessment algorithms, or anomaly/outlier detection techniques.
- Experience developing and implementing scalable machine learning pipelines.
In addition, the following would be an advantage:
- Passion for promoting high information quality
- Track record of publications and practical expertise in computational social sciences and high-impact information quality research.
- Experience with training, evaluating, or interpreting large language models, and integrating tool use
- Proven ability to design and execute independent research projects
- Experience with model evaluation, including fairness and bias considerations.
- Expertise in developing models that assess user interactions and behavior patterns
Key skills/competency
- Machine Learning
- AI
- Computer Vision
- Reinforcement Learning
- Multimodal AI
- Information Quality
- Media Integrity
- Anomaly Detection
- Scalable ML Pipelines
- Large Language Models
How to Get Hired at Google DeepMind
- Research Google DeepMind's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for AI and media integrity: Highlight experience in machine learning, computer vision, and information quality specific to Google DeepMind's research.
- Prepare for technical deep dives: Sharpen your knowledge in multimodal AI systems, anomaly detection, and scalable ML pipelines relevant to this Research Engineer role.
- Showcase impact and responsible AI: Be ready to discuss how your research has led to real-world applications and consider ethical implications, aligning with Google DeepMind's priorities.
- Network strategically: Connect with current Google DeepMind researchers on LinkedIn to gain insights and express your genuine interest in their media integrity work.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background