Binance · 1 month ago
Recommendation System, Data Scientist/Machine Learning Engineer
United States
Full-time
Remote
Mid Level
3+ years expBinance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange. As a Data Scientist for Binance Square, you will design and manage recommendation services that power personalized user experiences, leveraging advanced machine learning techniques to drive user engagement and collaboration with business teams.
BitcoinCryptocurrencyFinTechStock ExchangesWeb3
Responsibilities
Design, develop, and manage Recommendation services and models to power personalised user experiences
Apply Machine Learning–driven personalisation methods, design patterns, and tools to deliver scalable solutions
Leverage deep expertise in Recommendation systems combined with business domain knowledge to elevate the impact of AI products
Drive the development of core modules using data-driven strategies to maximise business and user value
Partner with Business and Product teams to identify opportunities, define success metrics, and ensure measurable impact
Qualification
Required
Bachelor's or Master's degree in Machine Learning, Computer Vision, Computer Science, Applied Mathematics, or a related field, with at least 3 years of relevant industry experience
Proficiency in programming languages such as Python, Java, or Scala, and experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Proven experience designing, developing, and managing large-scale recommendation systems for personalised user experiences
Strong expertise in machine learning–driven personalisation methods, algorithms, and frameworks
Demonstrated ability to build scalable, production-grade solutions applying modern software engineering practices
Solid understanding of data-driven product development, with experience developing and optimising core modules to maximise business and user value
Strong collaboration skills, with experience partnering across Business, Product, and Engineering teams to define opportunities, establish success metrics, and ensure measurable outcomes
Preferred
Deep knowledge of Recommendation Algorithms (e.g., collaborative filtering, content-based, sequence models, graph-based methods, reinforcement learning)
Experience with experimentation platforms (A/B testing, multi-armed bandits) and defining product success through data-driven experimentation
Familiarity with cloud platforms (AWS, GCP, or Azure) and ML/AI infrastructure
Strong business acumen and the ability to translate business needs into effective AI-driven solutions
Track record of publishing or contributing to research in the field of recommender systems or personalisation
Benefits
Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Company
Binance
Binance is a blockchain ecosystem and digital asset exchange platform that provides a wide range of crypto-related services.
5001-10000 employees
H1B Sponsorship
Binance has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
2022 (3)
Funding
Current Stage
Late StageTotal Funding
$2BKey Investors
MGX
2025-03-12Series Unknown· $2B
2018-10-23Series Unknown
2018-10-01Seed
Leadership Team
Richard Teng
Binance, Co-CEO
Andrew Carroll-Goldin
Global Head of Data Analytics
Recent News
2026-01-09
2026-01-09
Company data provided by crunchbase