Research Engineer, Frontier Safety Risk Assessment
Londononsitemid$136K – $245K
via Greenhouse
About this role
Snapshot
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
Our team identifies, assesses, and mitigates potential catastrophic risks from current and future AI systems. As a member of technical staff, you will design, implement, and empirically validate approaches to assessing and managing catastrophic risk from current and future frontier AI systems.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, r
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in London. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonr
More at Deepmind
- View →Senior Product Manager, Kaggle, North AmericaMountain View, California, US; New York City, New York, US; San Francisco, California, US
- View →Senior Program Manager, Google DeepMind Impact AcceleratorLondon, UK
- View →Senior PsychologistMountain View, California, US
- View →Senior Technical Program Manager, GeminiAppMountain View, California, US; New York City, New York, US
- View →Staff AI Product Designer, Growth & Discovery, GeminiAppMountain View, California, US; San Francisco, California, US
- View →Senior ML Software Engineer, GeminiApp Strategic User SegmentsMountain View, California, US