2 months ago
Shenzhen, ChinaSenior
Responsibilities
- Develop and apply machine learning solutions for recommendations, personalization, risk, fraud detection, search, and other product areas.
- Serve as a subject matter expert in a specific machine learning domain while understanding product and user challenges.
- Define and resolve ambiguous problems with or without dedicated Product Manager support.
- Use product and business metrics, experimentation, and data to improve outcomes.
- Handle the data collection, aggregation, analysis, visualization, productionization, and monitoring of ML products.
- Collaborate with cross-functional partners and stakeholders to achieve optimal outcomes.
- Explore and adopt relevant technologies, including AI tools that improve workflows and productivity.
Requirements
- 6+ years of industrial machine learning experience and significant prior success solving challenging problems at scale.
- Expertise in modeling and statistical modeling.
- Understanding of ML product data collection, aggregation, analysis, visualization, productionization, and monitoring, including MLOps.
- Ability to develop ML products using strong engineering practices.
- Strong Python skills and experience with machine learning and deep learning libraries including PyTorch and TensorFlow.
- Education in a quantitative field such as Computer Science, Operations Research, Statistics, Econometrics, or Mathematics.
- Strong problem-solving skills, scientific rigor, and a data-driven approach to product and engineering questions.
- Demonstrated use of AI tools such as ChatGPT and Cursor to improve workflows, productivity, and efficiency.
Benefits
- Career growth opportunities and opportunities to take on greater challenges.
- Opportunity to join a team scaling globally.
- Competitive performance-based compensation.
- Candid, open, and collaborative culture where feedback is valued.
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