Research Engineer / Research Scientist, Multimodal

at Anthropic
📍 London, United Kingdom
GBP 250,000-270,000 per year
MIDDLE
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Kubernetes @ 3 ETL @ 3 Machine Learning @ 3 Communication @ 6 PyTorch @ 3

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The team is focused on building beneficial AI systems that are safe and impactful for society.

The Multimodal team develops and studies AI models that operate on multiple types of data including text, images, video, and audio, aiming to augment human creativity and productivity while mitigating associated risks.

Responsibilities

  • Conduct foundational research developing new architectures for modeling multimodal data.
  • Build infrastructure including complex multimodal reinforcement learning environments, high-performance RPC servers for image processing, and sandboxing for secure data collection.
  • Develop tooling for collecting, processing, and cleaning large-scale multimodal data.

Requirements

  • Significant software engineering experience.
  • Results-oriented, flexible, and impact-driven mindset.
  • Willingness to take on diverse tasks, including those outside the formal job description.
  • Enjoy pair programming.
  • Desire to learn more about machine learning research.
  • Care about societal impacts of AI work.

Strong Candidates May Also Have Experience With

  • High performance, large-scale ML systems.
  • GPUs, Kubernetes, PyTorch, OS internals.
  • Language modeling with transformers.
  • Reinforcement learning.
  • Large-scale ETL.

Benefits & Logistics

  • At least a Bachelor's degree or equivalent experience required.
  • Hybrid work policy requiring ~25% office presence.
  • Visa sponsorship available where applicable.
  • Competitive compensation and benefits, equity donation matching, generous vacation, parental leave, flexible hours, and collaborative office space.

Company Culture

  • Emphasis on big science AI research with impactful, collaborative work.
  • Frequent research discussions and strong communication.
  • Diversity and inclusion focused, encouraging applications from underrepresented groups.
  • Work aligned with long-term goals of steerable, trustworthy AI.

Salary

  • Annual Salary: £250,000 - £270,000 GBP