Data Scientist (Deep Learning) @Binance

Binance

Singapore Remote

Full time

Jul 9

Data Scientist (Deep Learning)

Please note, all positions at Binance require relevant experience. Applications without required experience will not be considered.

Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.

Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?

Data driven based business is the core in helping us to use cloud native platform 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 analysis 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 which 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 off our rich data and cutting-edge machine learning technology.  

We have multiple openings available and much more are coming due to our rapid growth of business. Sample projects include:

  •  User behavior and pattern analysis: KYC, Anti-Money Laundry and abnormal user automated recognition to provide our users with safe and more accurate information service.
  • Digital data asset: obtain the blockchain based data to perform chain-based data analysis, prediction and recommendations.
  • 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.

To be successful in this role, you MUST be a quick learner, stellar machine learning skills with rich and solid experience from inception to business impact, strong communication capabilities and work well in cross-functional teams (e.g. with data users from different marketing and consumer team).  This is a great opportunity to enhance your machine learning /data science skills in markets and familiarize with Blockchain based technology and etc while making a real impact on Blockchain and Crypto-Currency technology globally.

Responsibilities

  • Conduct applied research and development in AI applications that involve computer vision, natural language processing, speech processing, and other related techniques;
  • Work closely with other team members on implementing algorithms that power user focused products;
  • Build and release models, and elevate customer experience and track impact over time.

Requirements

  • 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 ML frameworks such as PyTorch or TensorFlow;
  • Fluent in English both written and spoken;
  • Experience with application development practices at scale;

Bonus:

  • Good experiences on Computer Vision particularly on OCR and text extract with deep learning based end-to-end solution;
  • Good global team collaboration skills and experiences are good add-ons as well;
  • Publication record at top conferences and journals is a plus.

Conditions

  • Do something meaningful; Be a part of the future of finance technology and the no.1 company in the industry
  • Fast moving, challenging and unique business problems
  • International work environment and flat organisation
  • Great career development opportunities in a growing company
  • Possibility for relocation and international transfers mid-career
  • Competitive salary
  • Flexible working hours, Casual work attire

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