Research Engineer, Gemini Large Scale Pretraining, DeepMind

Google LLC; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google DeepMind is seeking a Research Engineer for Gemini Large Scale Pretraining. The role involves embedding software engineers within research, enabling large-scale experiments, prototyping, and designing architectures to advance AI research across global teams.

Ideal candidates have a CS degree, 2 years in Python ML libraries like JAX or OSS, and 1 year ML experience, with strong collaboration and communication across time zones. Equity and benefits accompany the role.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with Python-based ML/scientific libraries such as JAX or OSS contributions.
• 1 year of experience with machine learning.

Responsibilities

• Work on long term projects to enable new research across multiple teams.
• Respond to time-sensitive issues in large-scale training runs and ongoing research.
• Make systematic improvements to technical workflows and tooling used across pretraining.
• Apply engineering expertise to help researchers navigate technical challenges across the codebase, model architecture, and data pipeline.
• Develop a balance between strong engineering practices and a flexible, researcher-friendly codebase.

Skills

Python ML libraries

ML experience

Education

Bachelor's degree in Computer Science or related field

Tools

JAX

Job description

Research Engineer, Gemini Large Scale Pretraining, DeepMind

Share Research Engineer, Gemini Large Scale Pretraining, DeepMind

DeepMind London, UK ; Mountain View, CA, USA

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

• Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience.
• 2 years of experience with software engineering involving Python-based ML/scientific libraries such as JAX or internship experience in these areas or Open Source Software (OSS) contributions.
• 1 year of experience with machine learning.

Preferred qualifications:

• Experience with large-scale system design, distributed systems, or performance engineering.
• A good understanding of engineering best practices, codebase design, and testing.
• Familiarity with how modern large language models are trained.
• Ability to collaborate with, and communicate effectively with, people with different skill sets and needs, and who may be distributed across different time zones.

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. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

• Work on long term projects to enable new research, which involve multiple team members and require good software engineering and design.
• Respond to time-sensitive issues arising in large-scale training runs, and in ongoing research.
• Make systematic improvements to technical workflows and tooling used across pretraining.
• Apply engineering expertise to help researchers navigate technical challenges. This requires both a deep understanding of the codebase and a broad understanding of the tech stack, the model architecture and data pipeline.
• Develop the right balance between good engineering practices and having a flexible codebase which researchers find easy to use and extend.

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.

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.