Secondmind is the optimization engine for the software defined vehicle. From reducing design simulation time and calibration overhead, to continuously improving energy efficiency and performance throughout the vehicle lifecycle, Secondmind cloud-native advanced machine learning solutions help automotive engineers break through complexity barriers in vehicle design and development so they can design better cars faster and accelerate the transition to carbon-neutral mobility.
This is an exciting opportunity to join a team at the forefront of artificial intelligence and machine learning. Secondmind Labs consists of researchers and engineers that explore innovative ideas that can improve the state of the art in Probabilistic modelling and Bayesian optimization.
We work in a highly collaborative research team, developing algorithms that are theoretically rigorous, yet scalable to domains of real-world complexity, with the aim of publishing papers at leading machine learning conferences. In the past four years our team has published over 75 papers and filed 10 patents (check our papers on our website). Labs missions also include contributing to internal product development and customer research projects, assisting in the application of cutting-edge machine learning research to real world problems.
You will be expected to develop your own research program, with a view to developing new tools and techniques for probabilistic models (e.g. Gaussian Processes, Bayesian Neural Networks, Neural Processes) and active learning (e.g. Bayesian Optimization, Multi-armed bandits, Reinforcement learning). You will actively engage in team collaborations to meet research goals and report your research findings both internally and externally.
You will also be expected to engage in cross-functional teams dedicated to product development and customer projects, leveraging your expertise to contribute to the application of active learning solutions to real world problems.
What skills, experience, and qualifications do you need to succeed in this role?
We are open to applicants at all levels, from fresh PhD graduates to experienced team leads.
What we primarily look for is a good fit with the team, a researcher that we can easily see collaborating with and that will enrich our collective knowledge.
Essential skills and experience:
In addition, the following would be an advantage:
We are an equal opportunities employer, and aim to ensure all candidates are treated equally and fairly through the application process and beyond. We actively encourage applicants from under-represented backgrounds, and encourage our people to bring their authentic, original, and best selves to work. If you require assistance or an accommodation through the interview process due to a disability, to apply for one of our roles, please contact our HR team at: email@example.com.
The office is based in Central Cambridge, UK.
We offer a hybrid working environment, with a flexible work schedule to support a work life balance within the UK.