Senior Deep Learning Engineer

at Binance
Published December 20, 2022
Location London, United Kingdom
Category Deep Learning  
Job Type Full-time  

Description

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 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:
- 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 Machine Learning frameworks such as PyTorch or TensorFlow
    • Fluent in English, both written and spoken
    • Experience with application development practices at scale
    • Good experiences in Computer Vision particularly on OCR and text extract with the deep learning-based end-to-end solutions is a plus
    • Good global team collaboration skills and experiences are good add-ons as well
    • Publication record at top conferences and journals is a plus
Working at Binance
• 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
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.