Role OverviewThe Brand Ads Team builds technologies that unlock business growth potential. This team owns several ads products: reservation ads, auction ads, and innovative content ads that enables advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting.
What You Will Do
As a Machine Learning Engineer on the Brand Ads team, you will work on real-world problems such as forecasting available inventory, optimizing auction traffic, and using machine learning to improve delivery quality and efficiency.
Why It Might Be a Fit
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Requirements
- Individuals who are completing or have recently completed a Master's degree in Computer Science, a related field, or equivalent practical experience.
- Proficient in at least one general-purpose programming language, such as Go, C/C++, Java, or Python, with solid coding and debugging skills.
- Strong foundation in data structures, algorithms, Linux development environment, and system design, with strong analytical and problem-solving skills.
- Solid understanding of statistics, probability, machine learning, and deep learning fundamentals, with familiarity with at least one mainstream machine learning framework such as TensorFlow, PyTorch, or MXNet.
Benefits
- Competitive salary
- Opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth
]]>