# Research Scientist, Multimodal Alignment, Safety and Fairness, DeepMind at Google

- Company: Google
- What the company does: Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
- Company website: https://about.google/
- Type: Startups (AI role)
- Level: Mid level
- Location: United States
- Work setup: On-site
- Posted: 2026-10-23
- Apply by: 2026-12-07
- Apply: https://www.google.com/about/careers/applications/jobs/results/102723867012670150-research-scientist-multimodal-alignment-safety-and-fairness-deepmind?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/google-research-scientist-multimodal-alignment-safety-and-fairness-deepmind/

## About the role

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- PhD degree in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience
- Experience in Python and deep learning frameworks (e.g., JAX, Flax, or Gemma)
- Experience in developing multimodal AI models and systems
- Experience conducting research and development, including experimental design, implementation, and analysis
- Publication record in machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV)


Source: 1752vc Careers, https://www.1752.vc/careers/jobs/google-research-scientist-multimodal-alignment-safety-and-fairness-deepmind/