Why This Role Stands Out
Advance the frontiers of probabilistic modelling and AI with a remote role at a leading research lab, where you'll develop novel algorithms and contribute to open-source libraries. You'll thrive here if you're a mid-senior ML researcher passionate about tackling real-world design challenges and publishing impactful work. Apply to join a collaborative team and make a significant contribution to the AI landscape.
Quick Overview
Job Description
Secondmind Labs Cambridge is seeking a Machine Learning Researcher to advance probabilistic modelling, active learning and Bayesian optimization. You will develop novel algorithms and collaborate with a team of researchers to tackle real-world design and calibration challenges, publishing work at leading ML conferences.
We value ambitious researchers who enjoy building scalable methods, contributing to open source libraries such as Trieste, GPflow and GPflux, and applying ML research to customer
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