At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and use them to create exceptional effect. We are committed to providing equal employment opportunity irrespective 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 condition as protected by applicable law. If you have a disability or additional need that requires accommodation, please let us know.
Snapshot
The role of the Research Scientist is to develop cutting-edge methods for sequence modeling and audio generation. The Research Scientist will apply these methods to various generative AI challenges such as neural audio coding, speech synthesis and multimodal large language models.
At Google DeepMind, we've created a unique culture and work environment where long-term ambitious research can thrive. Our interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms. We have already achieved several high-profile breakthroughs towards building artificial general intelligence, and we have all the necessary ingredients to make significant further progress over the next year!
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 others, 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 that safety and ethics are our top priorities.
The Role
Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture with the ultimate goal of creating and solving for Artificial General Intelligence.
Having pioneered research in the world's leading academic and industrial laboratories, PhDs, post-docs or professorships, Research Scientists join Google DeepMind to work collaboratively within and across research fields. They develop solutions to fundamental questions in machine learning and AI.
Drawing on expertise from a variety of disciplines including deep learning, reinforcement learning, computer vision, language, neuroscience, safety, control, robotics and multi-agent, our Research Scientists are at the forefront of groundbreaking research.
Key responsibilities:
- Design, implement, and evaluate state-of-the-art deep learning algorithms for sequence modeling and generation.
- Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.
- Encourage and participate in team collaborations to meet ambitious research goals.
- Work in collaboration with our Ethics and Governance teams to ensure our advancements in intelligence are developed ethically and offer broad benefits to humanity.
About you
To prepare you for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:
- PhD in Computer Science, Artificial Intelligence, Machine Learning or a related technical field or equivalent practical experience.
- Experience in Machine Learning Algorithms/Research and Language Modeling.
- Experience with publications (e.g., NeurIPS, ICLR, ICML, ICASSP, INTERSPEECH, ACL).
- Proficiency in Python and related ML frameworks (Jax, Tensorflow)
Additionally, the following would be beneficial:
- Experience with audio generation e.g. audio coding, speech synthesis, speech translation, speech enhancement, etc.
- A real passion for AI!
A competitive salary applies.
Applications will close on Monday 2nd October at 5pm CEST. Applications will be reviewed on a rolling basis.
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Audio Production Researcher
At Google DeepMind, we value the diversity of experiences, knowledge, backgrounds, and perspectives, and we want to best leverage these qualities to create an extraordinary impact. We are committed to ensuring equality of employment opportunities, regardless of any consideration related to sex, racial origin, religion or beliefs, ethnic or national origin, disability, age, citizenship, civil, matrimonial or domestic status, sexual orientation, gender identity, pregnancy or a related condition (including breastfeeding) or any other reason protected by current legislation. If you are disabled or if your situation requires other adjustments, please let us know.
Quick Overview
The role of the Researcher involves developing cutting-edge methods to model sequences and generate audio elements. The Researcher will apply these methods to various problems related to generative AI, such as neural audio coding, voice synthesis, and large multimodal language models.
At Google DeepMind, we have designed a unique culture and working environment conducive to the most ambitious long-term research. Our special multidisciplinary team combines the very best techniques of deep learning, reinforcement learning, and system neuroscience to develop universal learning algorithms. We have already made significant progress towards creating artificial general intelligence, and we now hold all the cards to make significant further progress over the next year!
About us
Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we have assembled a team of scientists, engineers, machine learning experts, and other specialists to unite their skills to advance the state of the art in artificial intelligence. We use our technologies for the benefit of the general public and scientific discovery, and we collaborate with others on essential issues, ensuring that safety and ethics remain the absolute priority.
About this role
Google DeepMind Researchers lead our efforts to develop a brand new logarithmic architecture, with the aim of solving and building Artificial General Intelligence. Having pioneered research in the world's leading academic and industrial labs, PhDs, post-docs or professorships, Research Scientists join Google DeepMind to work collaboratively within and across Research fields. They develop solutions to fundamental questions in machine learning and AI.