Research Scientist, Provenance
Google DeepMind · London, UK
Frontier labonsite
At a glance
Highlights
- Advance trustworthy, robust ML for strategic initiatives like SynthID.
- Tackle provenance of synthetic media and trustworthiness of data.
- Collaborate with domain experts to build novel ML for strategic problems.
Ideal candidate
PhD-level ML researcher passionate about trustworthy AI who thrives in collaborative, mission-driven science and wants research to ensure models and synthetic media benefit the public.
Requirements
- PhD in Machine Learning or equivalent research/industry experience
- Experience in scripting languages and pipelining tools
- Experience in programming
- Quantitative experience in maths and statistics
- Published ML conference work on robustness or image/video generation or classification
- Experience applying ML to robust and trustworthy model deployments
- Experience with image, audio or text watermarking
- Demonstrated success delivering high-quality research impact
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)
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