Research Engineer, Gemini Large Scale Pretraining, DeepMind

DeepMind Technologies Limited; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Benefits

Bonus target

Job summary

Google DeepMind in Mountain View, CA seeks a research-focused Software Engineer to advance large-scale ML systems and research initiatives. You will design, prototype, and deploy software enabling cutting-edge AI work, collaborate with cross-disciplinary teams, and contribute to performance and scalability of pretraining pipelines.

The role emphasizes strong Python software engineering, ML knowledge, and the ability to work across time zones with global partners, while maintaining safety and

Qualifications

• Bachelor's degree in CS or related technical field or equivalent practical experience.
• 2 years of software engineering experience with Python-based ML/scientific libraries (e.g., JAX).
• 1 year of experience with machine learning.

Responsibilities

• Work on long term projects enabling new research with multiple team members.
• Respond to time-sensitive issues arising in large-scale training runs.
• Improve technical workflows and tooling used across pretraining.
• Apply engineering expertise to help researchers navigate technical challenges.
• Balance robust engineering practices with a flexible, researcher-friendly codebase.

Skills

Python

Machine Learning

Software Engineering

Education

Bachelor's degree in CS or related field

Tools

JAX

Job description

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.

Minimum qualifications

• 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.

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

Responsibilities

Learn more about benefits at Google .

• 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 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 .