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You will be updated with latest job alerts via emailWe are looking for a Senior Applied Scientist with expertise in deep learning to join our crossfunctional AI Trade Optimisation team. We build algorithms and machine learning systems for pricing customer targeting and product understanding. To do so we are able to leverage unique datasets of transactions and click streams for millions of ASOS customers and hundreds of thousands of products.
What youll be doing:
You will be part of an agile crossfunctional team to build causal algorithms for the pricing forecasting and customer targeting space.
You will personally drive the design and implementation of algorithms that create measurable impact across the business. You will work independently to conduct R&D lead stakeholder conversations and conduct largescale experiments to test hypotheses and drive product development.
You will write production grade code and contribute to the continual development and improvement of our codebases and technology following best practices regarding MLOps.
You will keep up to date with relevant stateoftheart 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 mentoring and coaching junior members of the team supporting their technical progress.
Qualifications :
About You
You have professional experience in machine learning and their practical applications in production environments. You are familiar with statistics regression and ensemble methods and have particular expertise with deep learning. Expertise and exposure to optimization causal methods or reinforcement learning are a plus.
You are comfortable working in Python and familiar with at least one deep learning framework (e.g. PyTorch TensorFlow). Experience with distributed computing frameworks (e.g. Horovod DeepSpeed) for training deep learning models is a plus.
You have a solid understanding of software development lifecycles and engineering practices (including version control data pipelines CI/CD) and are able to write productiongrade code.
You are able to work independently to manage projects and deliver prototypes against a timeline. You also have experience managing nontechnical business stakeholders and working collaboratively with other machine learning professionals.
We are keen to speak to people who are comfortable with R&D and would love to meet someone who has authored publications in toptier machine learning conferences or journals (e.g. NeurIPS ICLR ICML KDD CVPR ICCV ECCV ACL EMNLP).
Additional Information :
BeneFITS
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Remote Work :
No
Employment Type :
Fulltime
Full-time