Google DeepMind · Mountain View

Senior Research Engineer, Responsibility

23.10.2025

Description

  • Conduct high-quality research in areas related to AI safety, ethics, and responsibility.
  • Design, implement, and run experiments to test new ideas and hypotheses.
  • Analyze and interpret experimental results, and communicate findings to the team.
  • Collaborate with cross-functional teams (e.g., Research, Engineering, Policy) to identify and address key challenges in responsible AI.
  • Contribute to the development of robust and scalable ML systems and tools.
  • Stay abreast of the latest advancements in AI, machine learning, LLMs, and AI ethics and safety.
  • Contribute to research papers and publications.

Qualifications

  • PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
  • 3+ years of experience in a research or engineering role.
  • Proven track record of contributing to complex machine learning projects.
  • Deep understanding and hands-on experience with state-of-the-art Machine Learning techniques, particularly in Deep Learning and Large Language Models (LLMs).
  • Strong programming skills, preferably in Python, and experience with common ML frameworks (e.g., TensorFlow, PyTorch, JAX).
  • Excellent communication and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical audiences.
  • Master's or PhD in Computer Science, Machine Learning, or a related field.
  • Experience working in AI ethics, safety, or responsibility research.
  • Experience with large-scale data processing and distributed systems.
  • Publications or contributions to the machine learning research community.
  • Experience working in a fast-paced, research-driven environment.
  • Familiarity with the sociotechnical aspects of AI systems.

Benefits

The US base salary range for this full-time position is between $166,000 - $244,000+ bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application

View listing at origin and apply!