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.