Research Engineer — Responsible AI & GenAI (Equity Included)

Google LLC; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

DeepMind, a Google AI lab, is hiring a Research Engineer in Mountain View to advance responsible AI initiatives. You will design experiments, prototype architectures, and collaborate with researchers to push state-of-the-art in NLP, generative AI, and large-scale ML systems.

The role emphasizes ethics and safety and offers opportunities to publish papers and contribute to cross-functional projects across Google’s AI ecosystems.

Qualifications

• Bachelor's degree in Computer Science, Math, a related technical field, or equivalent practical experience.
• 8 years of experience in Python programming.
• Experience with Generative AI, Generative AI agents, NLP, and LLMs.
• Experience with Cloud AI/ML systems and tools (e.g., Kaggle, TensorFlow, PyTorch etc.).

Responsibilities

• Design, prototype, scale engineering solutions, and run experiments to address emerging research priorities within the Responsibility portfolio.
• Work with Research Scientists to advance the state of the art in Responsible AI.
• Act as a technical anchor for the team, establishing best practices for code quality, scalability, and system design.
• Present complex engineering trade-offs and research results clearly to cross-functional stakeholders and leadership.
• Lead project teams and set technical direction.

Skills

Python

Generative AI

NLP

LLMs

Cloud ML

Education

Bachelor's degree in Computer Science or Math or related field

Master's degree or PhD in CS/Math or technically-oriented MBA

Tools

Kaggle

TensorFlow

PyTorch

Job description

DeepMind, a Google AI lab, is hiring a Research Engineer in Mountain View to advance responsible AI initiatives. You will design experiments, prototype architectures, and collaborate with researchers to push state-of-the-art in NLP, generative AI, and large-scale ML systems.

The role emphasizes ethics and safety and offers opportunities to publish papers and contribute to cross-functional projects across Google’s AI ecosystems.