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!

Work across the full machine learning (ML) modeling lifecycle, including data preparation, feature engineering, hyperparameter tuning and evaluation, and model selection to develop, build, and optimize the performance of large and highly scalable ML systems, algorithms, strategies, models and/or infrastructures.

Formulate real-world user data modeling in statistical learning problems.

Design and execute user procedure experiments, tests, and significance analyses by applying statistical test theories to optimize user experience.

Build and train ML models, deep learning models and their variants to analyze and predict user behavior metrics and treatment effects with ML frameworks.

Use big data frameworks and analytics tools to aggregate, collate, and analyze data.

Research and design ML models to optimize systems, features, algorithms, and product strategies.

Collaborate with key stakeholders and cross-functional teams to define product strategy and features, and to assist in defining products and driving initiatives from a ML engineering viewpoint.

Mentor junior Machine Learning Engineers and interns.