Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and—most importantly—affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 160 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market.

We're fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome. If you’ve been searching for a supportive environment to chase your curiosity and use data to investigate the questions that matter most to you, this is the place.

We offer a rare opportunity to work on initiatives of building consumer websites and operations support systems. You will enjoy working with one of the richest social e-commerce data sets in the world, cutting-edge technology, and the ability to see your insights turned into real products on a regular basis. Our engineers move extremely fast while solving unusual and challenging problems. Our team is small and nimble. We release new code daily to ensure that engineers are able to iterate quickly and make an impact immediately. They work on building features from the database level to the client-facing applications. We cultivate an environment for smart, driven engineers to thrive.

We're looking for engineers to work on Wish Structure Data understanding.You will be working on building ML models to extract product supply structure data from listing contents (text, image, video, etc.) which will power the next-generation personalization experience.

The role is ideal for someone who has solid software engineering experience and the ability to build machine learning models/systems. It offers the unique opportunity to have a direct impact on key product initiatives, including but not limited to these areas: product feed relevance, ads delivery, information extraction, supply category growth, dynamic feed personalization.

What you'll be doing:

• Develop Service Oriented System and Machine Learning Infrastructure for structure data supply understanding.
• Build scalable, reliable, and efficient microservices for Wish structure data downstream application.
• Develop a model for product attribute extraction and listing reconciliation using state-of-the-art machine learning techniques.
• Creating new features and improving existing features for taxonomy classification.
• Build data pipelines to analyze data and collect training data for down-streaming applications.
• Big Data Analytics supports logging, data collection, modeling, and optimization.
• Creating production system, continuous deployment, and monitoring system to build/maintain a highly scalable and robust search system for Wish.

• Strong knowledge in Tensorflow, Pytorch, Golang, Python, Scala, or any other programming language
• Experience with distributed systems at an enterprise scale
• Extensive hands-on experience with Machine Learning, especially in the areas of search ranking and query/product retrieval
• Experience with development, integration, and tuning using Presto, Spark, Hive or other query processing frameworks
• Bachelor, Master, Ph.D. degree in Computer Science or related field

Preferred Qualifications:

• 5+ years of work experience in Machine learning and Software Development.
• Preferred Ph.D. in Machine Learning, IR, NLP, CV area
• Top publications in ACL, SIGIR, EMNLP, WSDM, KDD, WWW, CIKM
• Build and integrate high QPS, low latency, and scalable backend systems, services, and ML tools
• Proficiency with machine learning frameworks (PyTorch, Tensorflow, etc.)
• Solid work with fundamental algorithms, system design, and large distributed systems
• Practical expertise in various disciplines of information retrieval, machine learning, and natural language processing, such as text mining, classification, information extraction, feature engineering, ranking, and search relevance

Here at Wish, you are joining a team and company at a time of growth and transformation. You will love being surrounded by people who are as passionate as you are about e-commerce, technology, and a data-driven culture. Even if you don't meet 100% of the above, we encourage you to still apply!

Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunities for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider employment for qualified applicants with arrest and conviction records.

Individuals applying for positions at Wish, including California residents, can see our privacy policy here.