Role OverviewJoin the Lead Ads team to develop a large-scale Ads system, participate in machine learning, and work on NLP and CTR/CVR model estimation accuracy. Collaborate with product managers to define product strategy and features.
What You Will Do
Participate in the development of Ads systems, optimize relevance models, and improve NLP capabilities. Work on CTR/CVR model estimation accuracy, data analysis, and feature engineering.
Why It Might Be a Fit
Successful candidates must be able to commit to an onboarding date by the end of the year. The role requires good analytical thinking, solid programming skills, and knowledge of machine learning concepts and techniques.
Requirements
- Bachelor's or above degree in Computer Science, Computer Engineering, or a related technical discipline
- Solid programming skills in Go, C/C++, Python, and familiarity with basic data structures and algorithms
- Good analytical thinking capability and essential knowledge and skills in statistics
- Theoretical grounding in machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.)
- Familiarity with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet)
Benefits
- Opportunities to pursue bold ideas and tackle complex challenges
- Limitless growth and development opportunities
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