Machine Learning Engineer Lead (Feed/ Content Recommendation)

Posted Yesterday
18 Locations
Remote or Hybrid
Senior level
Blockchain • Fintech • Software • Cryptocurrency • Metaverse
The Role
Lead design and management of search and content recommendation services and models. Build personalized recommender systems using ML/AI, define success metrics with product and business teams, drive core module development, and translate PB-scale data insights into measurable product impact.
Summary Generated by Built In
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around 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:
 
- 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

  • 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

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 global team collaboration skills and experiences are good add-ons as well
  • Publication record at top conferences and journals is a plus
  •  

Why Binance
• 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)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

Skills Required

  • MSc or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics with at least 5 years of relevant industry experience
  • Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow
  • In-depth understanding and hands-on experience building recommendation systems and personalization methods
  • Experience with application development practices at scale and working with PB-scale data warehouses
  • Proven end-to-end ML experience from model inception to measurable business impact
  • Fluent English, both written and spoken
  • Strong communication skills and ability to work effectively in cross-functional and global teams
  • Publication record at top conferences and journals

Binance Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Binance and has not been reviewed or approved by Binance.

  • Career-Linked Recognition & Rewards Performance-linked bonuses can be sizable in favorable crypto cycles, lifting total compensation. Attractive packages in engineering and specialized roles indicate strong rewards for in-demand skills.
  • Flexible Benefits Remote-first flexibility and work-from-anywhere options add meaningful value to the overall rewards package. Flexible schedules and location independence are presented as core perks.
  • Retirement Support Binance.US includes a 401(k) as part of its benefits. This provides a conventional retirement pillar alongside cash and bonus components.

Binance Insights

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The Company
Melbourne, VIC
7,696 Employees
Year Founded: 2017

What We Do

Binance is the world’s leading blockchain and cryptocurrency infrastructure provider with a financial product suite that includes the largest digital asset exchange by volume. Trusted by millions worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more. For more information, visit: https://www.binance.com

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