Research Engineer: AI Audio & Diffusion Systems

Google; United States; On-site; USD 174,000 - 253,000; Full time

Job summary

Google DeepMind in Mountain View, CA is seeking a Research Engineer to contribute to AI research across audio and language domains. You will join a fast-paced team within DeepMind's Gemini audio program, prototyping architectures and running large-scale experiments.

This role emphasizes building research prototypes, evaluating ideas rigorously, and delivering scalable systems while upholding safety and ethics as core priorities.

Qualifications

• Bachelor's degree in CS/AI/ML or equivalent practical experience.
• 3 years of deep learning research and development, incl. generative AI, diffusion & autoregressive models.
• One or more publications in NeurIPS/ICML/ICLR or equivalent contributions.

Responsibilities

• Be part of a team of scientists, engineers, ML experts working to advance AI research.
• Contribute to experiments, prototypes, and scalable AI systems across audio, language, and diffusion domains.

Skills

Publications in ML venues

Research mindset

Collaboration

Education

Bachelor's degree in CS/AI/ML or equivalent

3 years DL research experience

Publications or industry contributions

Tools

Python

PyTorch

JAX

Diffusion models

Job description

Google DeepMind in Mountain View, CA is seeking a Research Engineer to contribute to AI research across audio and language domains. You will join a fast-paced team within DeepMind's Gemini audio program, prototyping architectures and running large-scale experiments.

This role emphasizes building research prototypes, evaluating ideas rigorously, and delivering scalable systems while upholding safety and ethics as core priorities.