About the job
Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!
Responsibilities
Develop highly scalable classifiers, tools, statistical models, and/or algorithms by leveraging cutting-edge machine learning (ML) and data mining technologies to improve user experience, optimize consumption, and address critical product challenges.
Contribute throughout the whole life cycle of a machine learning model in production, including data collection and analysis, feature extraction, model training, evaluation, deployment, and refresh and maintenance.
Optimize algorithms and infrastructure to improve recommendation performance.
Work with cross-functional teams to design product strategies and build solutions to grow in important markets.
Qualifications
Minimum
Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Analytics (any), or a related quantitative field, and 1 year of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Analytics (any), or a related quantitative field, and 3 years of related work experience.
Of the required experience, must have 1 year of experience in each of the following:
Designing, developing, and implementing advanced machine learning or deep learning models;
Coding using Python or C++;
Utilizing Big Data Framework Hadoop or Flink; and
Using SQL and Spark to perform large-scale dataset analysis, including user behavior, probability distribution, and time series analyses.
Preferred
No preferred qualifications listed.