What are the responsibilities and job description for the Gemini Audio Research Scientist, DeepMind position at DeepMind?
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Minimum qualifications:
- PhD degree in Computer Science, Computer Engineering, a similar technical field (e.g., Electrical Engineering, Mathematics, or Information Technology), or equivalent practical experience.
- 2 years of experience in programming and machine learning with speech or natural language processing.
- Experience training or evaluating large language models (LLMs).
- Experience with text, image, video, or audio generation.
Preferred qualifications:
- A credible presence in the AI/ML community, demonstrated through publications or open-source contributions.
- A deep passion for AI technology and all of its possibilities.
About the job
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
US: $174000 - $253000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google.
Responsibilities
- Unlock new audio capabilities, with a focus on speech translation.
- Improve quality of models for understanding and generation, with a focus on streaming audio interactions and speech translation. This includes research to improve our RL algorithms, better techniques for generation quality, and looking at joint audio and visual representations and interactions.
- Better evaluation methods (human and automated metrics) to measure quality.
- Help in growing research business by sharing research trends and best practices within the community.
- Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research.