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Research Engineer, Tool Use, DeepMind

Google
1 day ago
Full-time
On-site
London, ENG

JobsCloseBy Editorial Insights

Google DeepMind seeks a Research Engineer focused on Tool Use in London for a full-time onsite role. You’ll join researchers who design large-scale experiments, deploy ideas, and collaborate with universities while publishing your work. Key qualifications include a bachelor’s in computer science, mathematics, physics, electrical engineering, or ML, plus five years of software development and five years training ML models, and experience in industry or a research lab. Preferred skills include data analysis at scale, data visualization and ingestion pipelines, experience with Large Language Models and Agents and Tools, and working knowledge of JAX or PyTorch. To apply, tailor your resume to end-to-end ML workflows, tool use, collaboration, and demonstrated impact, and be ready to discuss design reviews and debugging.

Minimum qualifications:

  • Bachelor's degree in computer science, mathematics, physics, electrical engineering, machine learning or equivalent equivalent practical experience
  • 5 years of experience with software development in one or more programming languages.
  • 5 years of experience with training of Machine Learning models.
  • Experience in industry or a research lab working on machine learning problems and engineering workflows.

Preferred qualifications:

  • Experience with data analysis at scale, data visualization and data ingestion pipelines for training models.
  • Experience with Large Language Models and notably Agents and Tools.
  • Working knowledge of JAX/PyTorch or similar frameworks.

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 various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities

  • Write and test product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.