Research Engineer, Continual Learning, DeepMind

Requirements:

• Bachelor's degree in computer science, electrical engineering, science, mathematics or equivalent experience.
• 2 years of experience in programming, specifically with Python-based scientific libraries such as JAX, PyTorch, TensorFlow, NumPy.
• Experience in developing or implementing machine learning models in a production or research environment.

Nice to Haves:

• Experience with large-scale system design, distributed systems.
• Experience in data engineering and visualisation.
• C++ or broader programming experience.
• Academic research experience in machine learning, publications, or research experience in related fields.
• Knowledge of distributed computation for ML, especially in the context of accelerators (e.g. sharding, multi-host computation).
• Strong communication skills (via discussion, presentation, technical and research writing, whiteboarding).

What You'll Be Doing:

• Determine how to run research methods with large-scale compute.
• Optimize performance through engineering and benchmarking.
• Solve key research challenges by designing and running experiments, sharing analyses and proposing next steps.
• Integrate engineering expertise into research projects, sharing skills and knowledge with other engineers and researchers.
• Design, build, and improve infrastructure for research.

Perks and Benefits:

• Various learning opportunities and varied career pathways.
• Opportunity to work on real-world problems including artificial intelligence, data mining, natural language processing, and more.
• Active contributor to the wider research community.
• Exceptional interdisciplinary teams focused on advancing AI development.
• Global teams with meaningful public benefit and scientific discovery focus.