Research Scientist, Multimodal Alignment & Safety (Equity)

Google LLC; Mountain View, Kirkland (CA, WA); Presencial; USD 147 000 - 210 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health, dental, vision, life, and DIS

401(k) with company match

Paid Time Off: 20 days/year

Sick Time: 40 hours/year

Maternity Leave: 28–30 weeks

Baby Bonding Leave: 18 weeks

13 paid holidays per year

Resumo da oferta

Google DeepMind is seeking a Research Scientist focused on Multimodal Alignment, Safety and Fairness. You will setup large-scale tests, prototype architectures, and drive research from concept to publication while ensuring safety and ethics are embedded in the work.

The role emphasizes developing multimodal AI models, publishing findings, and collaborating with international researchers to advance responsible AI. Excellent English communication and strong research background required.

Qualificações

• PhD or equivalent experience in Computer Science, ML or related field.
• 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 ML conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV).

Responsabilidades

• Generate new ideas and discuss directions with researchers.
• Design and implement ideas and evaluate methods for sociotechnical AI systems.
• Report findings clearly both internally and externally, verbally and in writing.
• Collaborate across teams to meet ambitious research goals and drive significant contributions.
• Take ownership of large technical projects from ideation to evaluation.

Conhecimentos

Python

Deep learning

Multimodal AI

Experiment design

Formação académica

PhD in CS/ML or related field

Ferramentas

JAX

Flax

Gemma

Descrição da oferta de emprego

Google DeepMind is seeking a Research Scientist focused on Multimodal Alignment, Safety and Fairness. You will setup large-scale tests, prototype architectures, and drive research from concept to publication while ensuring safety and ethics are embedded in the work.

The role emphasizes developing multimodal AI models, publishing findings, and collaborating with international researchers to advance responsible AI. Excellent English communication and strong research background required.