AI Research Engineer — Audio, Diffusion & LLMs (Equity)

Google DeepMind; Mountain View (CA); On-site; USD 174,000 - 253,000; Full time

Job summary

Google DeepMind is seeking a research-focused software engineer embedded across teams to enable large-scale testing and rapid deployment of promising ideas. You will contribute from experiments to architectures, working on AI, data mining, NLP, compilers, and core search while staying connected to research through collaborations and publications.

You will join a fast-paced audio and language team central to Gemini's audio capabilities, music generation, speech synthesis, and multimodal

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, Speech Processing, or equivalent practical experience.
• 3 years of experience in deep learning research and development, including generative AI, audio and video synthesis, diffusion models, and autoregressive generative models.
• One or more scientific publications in venues like NeurIPS, ICML, ICLR, or equivalent industry contributions.

Responsibilities

• Be a part of team of scientists, engineers, machine learning experts, and more, working together to advance in artificial intelligence.
• Use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical issues, ensuring safety and ethics are the highest priority.

Skills

Deep learning research

Generative AI

Publications

Reinforcement learning

Spoken dialog systems

Python

PyTorch

JAX

Education

Bachelor's degree in CS/AI/ML/CV/Speech Processing or equivalent

Tools

PyTorch

JAX

Python

Job description

Google DeepMind is seeking a research-focused software engineer embedded across teams to enable large-scale testing and rapid deployment of promising ideas. You will contribute from experiments to architectures, working on AI, data mining, NLP, compilers, and core search while staying connected to research through collaborations and publications.

You will join a fast-paced audio and language team central to Gemini's audio capabilities, music generation, speech synthesis, and multimodal