Research Engineer - Large-Scale AI Pretraining

DeepMind Technologies Limited; Greater London; Hybrid; GBP 110,000 - 158,000; Full time

Job summary

Google DeepMind is seeking research-focused Software Engineers embedded across the company to set up large-scale tests and deploy ideas quickly and broadly. Engineers contribute to AI, data mining, NLP, and performance analysis, collaborating with universities and publishing papers to push the boundaries of research and product innovation.

As part of a pioneering AI lab, you will work on architectures, experiments, and pipelines while staying connected to research roots.

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 OSS contributions.
• 1 year of experience with machine learning.

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.

Skills

Python

Machine Learning experience

Education

Bachelor's degree in Computer Science or related field

Tools

JAX

Job description

Google DeepMind is seeking research-focused Software Engineers embedded across the company to set up large-scale tests and deploy ideas quickly and broadly. Engineers contribute to AI, data mining, NLP, and performance analysis, collaborating with universities and publishing papers to push the boundaries of research and product innovation.

As part of a pioneering AI lab, you will work on architectures, experiments, and pipelines while staying connected to research roots.