Minimum 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.
Preferred qualifications:- Experience building and deploying spoken dialog systems.
- Experience with reinforcement learning (RL) and post-training with LLMs, especially spoken LLMs.
- Excellent engineering skills in Python and deep learning frameworks (e.g., JAX, PyTorch), with a track record of building high-quality research prototypes and systems.
- Motivated to pick up technologies to adapt and move quickly.
About the jobAt Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
In this role, you will join a fast-paced audio and language team that is fundamental to Google DeepMind's work on Gemini's audio capabilities, on music generation, on speech synthesis, on multimodal tokenization, and on diffusion theory. You will dive into both theory and code: to drive independent research initiatives, work with teams on AI, and develop solutions to fundamental questions in machine learning and AI.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
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.
