Senior Research Scientist, Foundational Audio

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

Benefits offered by this job

Equity grant

Comprehensive benefits

Job summary

Google LLC in Mountain View, CA is seeking a Senior Research Scientist, Foundational Audio to lead a research agenda spanning sequence modeling, speech, and multimodal data. You will design large-scale experiments, prototype architectures, and drive ideas from concept to evaluation.

You will co-design efficient, scalable models with attention to latency, work with open-source toolkits, publish findings at top conferences, and mentor newer researchers within Google Research.

Qualifications

• PhD in a relevant field or equivalent practical experience.
• Proven track record in sequence, speech, or audio modeling research.
• Publications in top ML or audio conferences/journals.

Responsibilities

• Define and lead research agendas, experimental designs, and evaluation benchmarks in sequence, speech, audio, and multimodal modeling.
• Co-design and optimize models for scaling laws, memory or cache efficiency, distillation, and low-latency streaming inference.
• Contribute to open-source toolkits, and mentor researchers.

Skills

Leading a research agenda

Sequence-to-sequence models

Hardware-aware model co-design

Peer-reviewed publications

Education

PhD in Computer Science, Linguistics, Electrical Engineering, Mathematics, Physics, a related field, or equivalent practical experience

Tools

JAX

PyTorch

TensorFlow

Job description

Senior Research Scientist, Foundational Audio

Share Senior Research Scientist, Foundational Audio

corporate_fare Google place Mountain View, CA, USA

• PhD in Computer Science, Linguistics, Electrical Engineering, Mathematics, Physics, a related field, or equivalent practical experience.
• 2 years of experience leading a research agenda in sequence, speech, or audio modeling.
• Experience with sequence-to-sequence models across state-space or linear attention, token-free latent representations, speech-text modeling, diffusion, flow-matching, speculative decoding, or streaming alignment.
• Experience with hardware-aware model co-design, scaling laws, memory or cache optimization, or streaming inference latency in JAX, PyTorch, or TensorFlow.
• One or more peer-reviewed publications in machine learning, speech, or audio conferences or journals.

Preferred qualifications:

• 10 years of experience in the theoretical and algorithmic aspects of sequence modeling and machine learning research.
• 4 years of experience setting research agendas across multiple projects or teams, and publications in NeurIPS, ICML, ICLR, JMLR, IEEE Transactions, Nature, Interspeech, ICASSP, or ACL.
• Experience building, scaling, pre-training, and post-training foundational audio, speech, or multimodal models using reinforcement learning alignment or multi-resolution modeling.
• Experience with model compression, distillation, or machine learning acceleration on TPUs or GPUs, and establishing evaluation benchmarks.
• Contributions to open-source machine learning or speech toolkits such as JAX, PyTorch, Hugging Face Transformers, Kaldi, K2, or ESPNet.

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.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

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

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.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

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 Learn more about benefits at Google .

• Define and lead research agendas, experimental designs, and evaluation benchmarks in sequence, speech, audio, and multimodal modeling.
• Co-design and optimize models for scaling laws, memory or cache efficiency, distillation, and low-latency streaming inference in JAX, PyTorch, or TensorFlow.
• Contribute to open-source toolkits, and mentor researchers.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.