Research Scientist, Interactive AI (Vision/Speech/Language)

Stealth AI Startup (Policing)

Greater London

On-site

GBP 65,000 - 90,000

Full time

7 days ago
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Job summary

Stealth AI Startup in London (with a presence in Amsterdam) is hiring for researchers who build new architectures and data pipelines to push the boundaries of AI for policing. The role suits those local or willing to relocate, with work spanning cloud and edge environments.

We develop human-centric AI to assist officers in investigations and victim support, focusing on transparency and consensus-based methods rather than mass surveillance.

Job description

Do you often build new architectures or data pipelines because existing models aren't good enough for the job?

Then get in touch.

Our team is in central London and partly in Amsterdam, so it's ideal if you're local or open to relocating.

Though w e are still in stealth mode for a few more months, we are actively hiring for multiple roles.

We build human-centric AI for the next generation of policing. We build tools that help officers serve the public in a transparent, consensus-based way. To be clear, this is not mass-surveillance. Our mission is supporting the police on crime- investigation and helping victims , so the values of the people we hire matter to us.

We are growing the applied-research side of our team because a) some breakthroughs are essential for the technology we're building and selling, and b) we believe in contributing to scientific progress through patents and (when appropriate) publications.

We are working on a spectrum of fascinating applied research problems!

Some are cloud- while others are edge-based. They challenge current AI capabilities across multiple domains:

  • Speech: recognition and dialog systems
  • Computer vision: 3D reconstruction, recognition, grounding, VQA
  • Language: knowledge-grounded reasoning (RAG, neuro-symbolic)
Responsibilities
  • Scientific exploration of multimodal AI systems
  • Evaluation and benchmarking for interactive models
  • Building data-collection processes and open-loop simulators
  • Designing and adapting efficient AI architectures

Your ability to absorb and apply new research can show up in a CV in many ways, e.g. publications, blogs, public code.

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