Overview

What you will do:

– Design and develop state of the art algorithms in one of these domains: Ranking, Natural Language Processing or Computer Vision;
– Conduct practical research with a scientific mindset, and a focus on delivery;
Build large scale data pipelines;
– Work closely with the engineering team to integrate ML algorithms into the platform;
– Help in the design of new features in the product, and drive innovation inside the company through the use of disruptive technologies.

Company:

FarFetch

Qualifications:

– Knowledge in one of the following subjects:
– Word Embeddings (e.g., GloVe, Word2Vec), Named Entity Recognition models;
– Information Retrieval, Learning to Rank (e.g., RankNet, ListNet), algorithm performance metrics (e.g., NDCG);
– Convolutional Neural Networks (e.g., InceptionV3, RetinaNet), Image Segmentation (e.g., SLIC, Saliency Maps, SuperVoxel), AutoEncoders, GANs;
– Fluent in Python and common numerical and Math & ML packages (NumPy, SciPy, sci-kit-learn, pandas, Keras, TensorFlow, PyTorch). R candidates are also encouraged to apply;
– Experience dealing with large amounts of data and building data pipelines;
– Knowledge of big data technologies is a plus (Hadoop, Spark, Hive);
– Non-relational databases (e.g., Cassandra) and streaming platforms know-how (e.g., Kafka) is a plus;
– Scientific and technical publications are possible and encouraged; Applicant should be interested to keep up to date with scientific advancements.

Language requirements:

– Strong English skills, both written and spoken;

Tagged as: , , , , ,

You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

About Farfetch

Farfetch brings together independent fashion boutiques to provide a wide selection of elegant brands and styles.