Research Scientist, Gemini Audio i18n, DeepMind

Google DeepMind; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google DeepMind is seeking a Research Scientist to design and deploy large-scale experiments in speech, audio, and multilingual models. You will prototype architectures, run benchmarks, and publish findings with internal and external collaborators.

The role emphasizes scalable A2A approaches, cross-language support, and delivering practical AI advances across products, while contributing to the research community. Competitive compensation includes equity and bonus targets.

Qualifications

• Bachelor's degree in Computer Science, Speech Recognition, Computational Linguistics, a related technical field, or equivalent practical experience.
• Experience in Speech Recognition, TTS, or LLMs.
• Experience coding in Python or C++ and using PyTorch, JAX, or TensorFlow.
• Experience working with audio data, speech processing, or multilingual datasets.

Responsibilities

• Create comprehensive evaluation sets and benchmarks to measure audio-to-audio (A2A) model performance across international languages, accents, and regional dialects.
• Propose, prototype, and evaluate novel modeling techniques to improve A2A audio understanding, dialog, and audio generation capabilities with a focus on scalability.
• Identify performance gaps in current multilingual audio models and collaborate with cross-functional research and engineering teams to deploy solutions.

Skills

Python

C++

PyTorch

JAX

TensorFlow

Speech recognition

Text-to-Speech

LLMs

Audio data

Education

Bachelor's degree in Computer Science or related field

Master's or PhD in ASR / speech or ML

Tools

PyTorch

JAX

TensorFlow

Job description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

Minimum qualifications

• Bachelor's degree in Computer Science, Speech Recognition, Computational Linguistics, a related technical field, or equivalent practical experience.
• Experience conducting research or development in Speech Recognition, Text-to-Speech (TTS), or Large Language Models (LLMs).
• Experience coding in Python or C++ and using deep learning frameworks such as PyTorch, JAX, or TensorFlow.
• Experience working with audio data, speech processing, or multilingual datasets.

Preferred qualifications

• Master's degree or Ph.D. in Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Computational Linguistics, or a related field.
• 3 years of experience in Large Language Models (LLMs) or multimodal foundation models.
• Experience developing audio-to-audio (A2A) architectures, end-to-end speech models, or spoken dialog systems.
• Experience scaling speech models across international languages, accents, or low-resource locales.
• Publication record in speech or machine learning conferences (e.g., ICASSP, INTERSPEECH, NeurIPS, or ACL).

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Create comprehensive evaluation sets and benchmarks to measure audio-to-audio (A2A) model performance across international languages, accents, and regional dialects.
• Propose, prototype, and evaluate novel modeling techniques to improve A2A audio understanding, dialog, and audio generation capabilities with a focus on scalability.
• Identify performance gaps in current multilingual audio models and collaborate with cross-functional research and engineering teams to deploy solutions.

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 .