Full-Time

Research Engineer

Foundational Research

Posted on 5/14/2024

DeepMind

DeepMind

1,001-5,000 employees

Develops artificial general intelligence systems

AI & Machine Learning

Mid

London, UK

Required Skills
Python
NumPy
Requirements
  • Degree in computer science, electrical engineering, science, mathematics or equivalent experience.
  • Programming experience, particularly with Python-based scientific libraries such as JAX, PyTorch, TensorFlow, NumPy.
  • Familiarity with machine learning, mathematics and statistics needed to follow relevant research papers (linear algebra, calculus, etc).
  • Large-scale system design, distributed systems.
  • Distributed computation for ML, especially in the context of accelerators (e.g. sharding, multi-host computation).
  • C++ or broader programming experience.
  • Data engineering and visualisation.
  • Strong communication skills (via discussion, presentation, technical and research writing, whiteboarding).
  • Academic research experience in machine learning, publications, or research experience in related fields.
Responsibilities
  • Working out how to make research methods run with large scale compute.
  • Performance engineering, benchmarking, and optimisation.
  • Solving key research challenges, via designing and running experiments, sharing analyses and proposing next steps.
  • Bringing engineering expertise into research projects. Sharing your skills and knowledge with other engineers and researchers.
  • Designing, building, and improving infrastructure for research.

This company leads in the field of artificial general intelligence (AGI), with notable applications across healthcare, energy management, and biotechnology. Their work in early diagnostic tools for eye diseases, optimizing energy usage in major data centers, and groundbreaking contributions to protein structure prediction underlines their commitment to harnessing AI for diverse practical applications. The company's dedication to pushing the boundaries of AI technology not only propels the industry forward but also creates a dynamic and impactful working environment for its employees.

Company Stage

M&A

Total Funding

$503.3M

Headquarters

null, United Kingdom

Founded

2010

Growth & Insights
Headcount

6 month growth

25%

1 year growth

88%

2 year growth

88%