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Machine Learning Researcher
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I’m working with a deep-tech startup specialising in machine learning, building next-generation tools to transform how complex integrated circuits are verified. Their technology accelerates simulation coverage and reduces tapeout risk — giving chip design teams a step-change in capability.
This is a high-impact opportunity for a Machine Learning Researcher who wants high-autonomy and for their research to matter in silicon.
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What They’re Looking For
- Degree in Physics/Engineering/Electronics and a PhD in Machine Learning
- Strong Python + PyTorch/JAX skills
- Publication record in ML or EDA venues
- Ability to move between research and implementation
- Clear communication across ML and circuit-design audiences
- Experience modelling dynamic systems
- Familiarity with SPICE data and analogue circuits
- Knowledge of behavioural modelling languages or EDA tools
- Startup or applied-research experience
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Why Consider It
- Competitive salary, bonus, and meaningful equity
- Flexible remote/hybrid working with London/Cambridge/Oxford bases
- Direct access to real customers testing your models on real silicon
- Small, senior team where your work ships and has visible impact
Please contact Chris Amison for more information.
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Jessica, London
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