Research Engineer, Winslow, DeepMind

Google Inc.; Mountain View (CA); On-site; USD 174,000 - 253,000; Full time

Job summary

Google DeepMind is seeking research-focused Software Engineers embedded across the company to run large-scale experiments and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data

Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, Speech Processing, or equivalent practical experience.
• 3 years of experience in deep learning research and development, including generative AI, audio and video synthesis, diffusion models, and autoregressive generative models.
• One or more scientific publications in venues like NeurIPS, ICML, ICLR, or equivalent industry contributions.

Responsibilities

• From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
• In this role, you will join a fast-paced audio and language team that is fundamental to Google DeepMind’s work on Gemini’s audio capabilities, on music generation, on speech synthesis, on multimodal tokenization, and on diffusion theory.

Skills

Deep learning research

Generative AI

Audio/video synthesis

Diffusion models

Autoregressive models

Education

Bachelor’s degree in Computer Science or related field

Tools

PyTorch

JAX

Job description

corporate_fare DeepMind place Mountain View, CA, USA

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, Speech Processing, or equivalent practical experience.
• 3 years of experience in deep learning research and development, including generative AI, audio and video synthesis, diffusion models, and autoregressive generative models.
• One or more scientific publications in venues like NeurIPS, ICML, ICLR, or equivalent industry contributions.

Preferred qualifications:

• Experience building and deploying spoken dialog systems.
• Experience with reinforcement learning (RL) and post-training with LLMs, especially spoken LLMs.
• Excellent engineering skills in Python and deep learning frameworks (e.g., JAX, PyTorch), with a track record of building high-quality research prototypes and systems.
• Motivated to pick up technologies to adapt and move quickly.

About the job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

About the job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

In this role, you will join a fast-paced audio and language team that is fundamental to Google DeepMind’s work on Gemini’s audio capabilities, on music generation, on speech synthesis, on multimodal tokenization, and on diffusion theory. You will dive into both theory and code: to drive independent research initiatives, work with teams on AI, and develop solutions to fundamental questions in machine learning and AI.

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 - $253000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Be a part of team of scientists, engineers, machine learning experts, and more, working together to advance in artificial intelligence.
• Use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical issues, ensuring safety and ethics are the highest priority.

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.