Research Engineer

Requirements

• Create innovative monetization products that drive engagement and business outcomes.
• Develop highly scalable services that powers new monetization products for billions of requests. Design systems that will optimize monetization efficiency with product engineering and state-of-the-art machine learning technologies.
• Build highly scalable machine learning systems/models to improve ads ranking quality.
• Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users.
• Collaborate with strategy team, product managers, and other key stakeholders to define products and drive initiatives from engineering perspective.
• Contribute to the success of a rapidly growing and evolving organization with speediness and quality.

Qualifications

• BS degree in Computer Science, Computer Engineering, or other relevant majors.
• Solid programming skills, proficient in C/C++ and Python. Familiar with basic data structure and algorithms. Familiar with Linux development environments.
• Curiosity towards new technology and outstanding ability to analyze and solve problems.
• Excellent communication skills.

Preferred Qualifications:

• Good understanding in one of the following domains: content ads, auction, bidding, ranking, and ads forecasting.
• Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data pipelines.
• Good product sense and experience designing and implementing product features.