Machine Learning Researcher

• Develop and manage your own research programme focusing on probabilistic models and Bayesian optimization
• Engage in team collaborations to meet research goals
• Report research findings internally and externally
• Contribute research to support product development and customer research projects
• Contribute to the companys open-source libraries

Technologies:

• AI
• Support
• Machine Learning
• PyTorch
• Python
• TensorFlow
• numpy

• PhD level education in Artificial Intelligence, Machine Learning, or a relevant discipline
• At least two published research papers on Machine Learning, Statistics, or optimization in prominent conferences such as NeurIPS, AISTATS, or ICML
• Experience applying research to real-world problems
• Advanced knowledge of decision-making techniques (Bayesian optimization, bandits, reinforcement learning, active learning)
• Proficient in probabilistic modeling methods (Gaussian processes, Bayesian neural networks, Variational inference)
• Experience with Python numerical programming (NumPy, TensorFlow, PyTorch)
• Interest in the automotive sector and sustainability

We are a high-successful SaaS tech company located in Cambridge, specializing in AI and ML products for the automotive industry. Our mission is to enable automotive innovators to enhance design efficiency and sustainability through advanced machine learning techniques. We offer a competitive salary up to £85k, private health care, life assurance, up to 6% employer pension contribution, and 25 days holiday. Our team values diversity and encourages continual learning, ensuring a supportive workplace environment.