Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our Sound Team to innovate in audio understanding and generation.
- Company: Be part of Google DeepMind, a leader in AI research and development.
- Benefits: Competitive salary, bonuses, equity, and comprehensive benefits package.
- Why this job: Make a real impact on the future of audio in AI technology.
- Qualifications: PhD in Computer Science or related field with audio experience.
- Other info: Diverse and inclusive environment with opportunities for groundbreaking research.
The predicted salary is between 100000 - 140000 £ per year.
Members of the Sound Team are a group of researchers working on audio understanding, editing, and generation. We are part of Frontier AI, the unit responsible for building and scaling the next generation of our core models. Research includes, but is not limited to, sound understanding, joint audio-video generation, audio-visual editing, and long-context modeling. Work with us to create a future where speech, music, and general audio are central to AI understanding, generation, and modification.
About Us
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
The Role
Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architectures towards the end goal of solving and building Artificial General Intelligence. We seek individuals who are passionate about audio and developing novel architectures to push the state of art. In this role, you will make key contributions advancing research in sound understanding, joint audio-video generation, and audio editing.
Key responsibilities:
- Data: Unlocking new audio capabilities within the model, both in pre-training and post-training.
- Models: Improving quality of models for understanding and generation. This includes research to improve our tokenizers, better techniques for generation quality, and looking at joint audio and visual representations.
- Evals: Better evaluation methods (human, auto raters, automated metrics) to measure quality of open-ended tasks.
About You
In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:
Minimum Qualifications
- PhD in Computer Science, or a related Machine Learning field.
- Audio understanding and/or generation experience.
- A proven track record of research and publications in some of the following areas: audio generation, video generation, LLMs.
Preferred Qualifications
- Experience working with LLMs.
- A real passion for Audio and Sound!
The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Research Scientist, Sound and Audio employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist, Sound and Audio
✨Tip Number 1
Network like a pro! Reach out to people in the audio and AI fields on LinkedIn or at industry events. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your passion for audio! Create a portfolio showcasing your projects, research, or any cool experiments you've done. This will help you stand out and demonstrate your commitment to the field.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in audio understanding and generation. Be ready to discuss your ideas and how they align with what we’re doing at Google DeepMind.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team.
We think you need these skills to ace Research Scientist, Sound and Audio
Some tips for your application 🫡
Show Your Passion for Audio: When writing your application, let your love for audio and sound shine through! Share specific experiences or projects that highlight your enthusiasm and expertise in audio understanding and generation.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to align with the job description. Highlight relevant research, publications, and skills that match what we're looking for in a Research Scientist.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your experience and achievements, making it easy for us to see how you fit into our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at The Rundown AI, Inc.
✨Know Your Audio Inside Out
Make sure you brush up on the latest trends and technologies in audio understanding and generation. Familiarise yourself with key concepts, algorithms, and recent research papers in the field. This will not only help you answer technical questions but also show your genuine passion for audio.
✨Showcase Your Research
Prepare to discuss your previous research and publications in detail. Be ready to explain your methodologies, findings, and how they relate to the role. Highlight any experience you have with LLMs or joint audio-video generation, as this will be particularly relevant to the team.
✨Practice Problem-Solving
Expect to tackle some technical problems during the interview. Practice explaining your thought process clearly and logically. You might be asked to improve a model or suggest evaluation methods, so think through potential scenarios and solutions beforehand.
✨Ask Insightful Questions
Prepare thoughtful questions about the team's current projects and future goals. This shows your interest in the role and helps you gauge if the company aligns with your career aspirations. Asking about their approach to safety and ethics in AI can also demonstrate your awareness of industry challenges.
