Senior Machine Learning Scientist - Recommendations

We are looking for a Senior Machine Learning Scientist, with expertise in deep learning, to join our cross-functional Customer Experience team to help further the success of our recommender system. Our system plays a key role in helping ASOS provide the best shopping experience to our millions of customers by surfacing the right product to the right customer at the right time, handling up to 8000 requests per second at peak in production. The whole team is responsible for the end-to-end system, and we are all accountable for making sure it performs in production, at the scale at which ASOS operates. The role sits within the AI domain, which is responsible for the algorithms that power ASOS digital ecosystem. From Recommender Systems through to forecasting models that drive key operating decisions, the teams maintain, build and innovate in some of the most interesting areas of AI at scale, training models on unique datasets, transactions and clickstream data. What you’ll be doing : You will be part of an agile, cross-functional team building and managing a large-scale recommender system, working with massive amounts of data, and delivering deep learning models into production. You will be driving the implementation and scale-up of algorithms for measurable impact across the business and set up and conduct large-scale experiments to test hypotheses and drive product development. You will be keeping up to date with relevant state-of-the-art research, taking part in reading groups alongside other scientists, with the opportunity to publish novel prototypes for the business at top conferences. You will be continually developing and improving our code and technology, taking an active role in the conception of brand-new features for our millions of global customers. You will be mentoring and coaching junior members of the team, supporting their technical progress. You will take part in regular Tech Develops days to learn new things, take part in internal and external hackathons, and share your knowledge and help drive improvements in science and engineering. You will support our culture by championing Diversity, Equity & Inclusion strategies.