Machine Learning Engineer Lead (Feed/ Content Recommendation)
Indexed description
Data-driven based business is the core in helping us to use the cloud-native platforms to serve tens of millions of crypto-currency users. Engineers and Data Scientists across the company use the data platform to do interesting and impactful analyses for continuous innovations. As a data scientist, you will have the opportunity to leverage rich data (PB-level scalability) and state-of-art machine learning infrastructure to develop data products that are used by our tens of millions of crypto-currency users. You will collaborate with a strong team of engineers, data analysts, business operation and product/marketing managers to define and build solutions, features, algorithms and products based on our rich data and cutting-edge machine learning technology.
We have multiple openings available and many more are coming due to our rapid growth of the business. Sample projects include:
- Personalized recommender system: leverage of our PB-scale data warehouse to perform in-depth analysis and recommender system for our end-users
- Data driven customer feedback and satisfaction analysis: leverage of machine learning techniques to understand customer’s feedback and satisfaction with proven data evidence and analysis
Responsibilities
- Responsible for designing and managing search recommendation services and models
- using AI to create truly personalized recommendations and address our customers’ queries and intent
- Knowledge of machine learning powered personalization methods, design patterns and tools
- In-depth understanding of Recommendation systems with the business domain knowledge to take the impact of AI product to the next level
- Drive the development of core modules with data-driven strategy to maximize the impact
- Identify the needs and opportunities, define success metrics with Business and Product management teams
- MSc or Phd in Machine Learning, Computer Vision, Computer Science or Applied Mathematics with at least 5 years of relevant industry experience
- Excellent hands-on experience with popular Machine Learning frameworks such as PyTorch or TensorFlow
- Fluent in English, both written and spoken
- Experience with application development practices at scale
- Good global team collaboration skills and experiences are good add-ons as well
- Publication record at top conferences and journals is a plus
- Shape the future with the world’s leading blockchain ecosystem
- Collaborate with world-class talent in a user-centric global organization with a flat structure
- Tackle unique, fast-paced projects with autonomy in an innovative environment
- Thrive in a results-driven workplace with opportunities for career growth and continuous learning
- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
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