Senior Research Engineer, Responsible AI & LLMs

Google; New York (NY); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus target

Job summary

Google DeepMind is seeking a Research Engineer focused on Responsibility to design, prototype, and scale AI systems. You will work with Research Scientists to advance Responsible AI and present trade-offs to stakeholders.

You will join a specialized Applied Research and Responsibility team within Google, contributing to safety and ethics while publishing results and collaborating with academic partners worldwide.

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 programming

Generative AI

NLP

LLMs

Cloud ML systems

TensorFlow

PyTorch

Kaggle

Education

Bachelor's degree in CS/Math or related field

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

Tools

Kaggle

TensorFlow

PyTorch

Job description

Google DeepMind is seeking a Research Engineer focused on Responsibility to design, prototype, and scale AI systems. You will work with Research Scientists to advance Responsible AI and present trade-offs to stakeholders.

You will join a specialized Applied Research and Responsibility team within Google, contributing to safety and ethics while publishing results and collaborating with academic partners worldwide.