1 of 1 Statistics Jobs in Cambridge

for preparing models for edge applications Invent optimization techniques to push the boundaries of deep learning model training Derive research approaches from first principles via knowledge of Information Theory, Statistics, Scientific Computing, and Deep Learning Theory Create and propose detailed theoretical specifications for novel research ideas and directions, and rigorously justify their correctness Train custom Gen AI models that beat … open source and present on Amazon's behalf at key ML conferences - e.g. NeurIPS, ICLR, MLSys An Ideal Candidate Would Have PhD in quantitative science field, e.g. Applied Mathematics, Statistics, Physics Experience with designing novel algorithms via optimization theory and constrained optimization Experience with applications of reinforcement learning to GenAI model training Experience with training of diffusion models Experience with … mixture-of-experts (MoE) models Basic Qualifications PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience in building machine learning models for business application Experience with neural deep learning methods and machine learning Experience programming in Java, C++, Python or related language Preferred Qualifications Experience with large scale machine learning systems More ❯