Binance Logo

Binance

Data Scientist (Search & Recommendation)

Reposted 7 Days Ago
In-Office or Remote
Hiring Remotely in Georgia, USA
Senior level
In-Office or Remote
Hiring Remotely in Georgia, USA
Senior level
Design, develop, and manage large-scale search and content recommendation systems. Apply ML-based personalization to improve content matching and distribution. Lead core recommendation module development, define success metrics, and collaborate with content, product, and business teams to drive AI product upgrades and better user and business outcomes.
The summary above was generated by AI
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.

Responsibilities

  • Design and manage search recommendation services and models to support the content team, empowering content ecosystem development.
  • Utilize machine learning-based personalization methods, design patterns, and tools to enhance content matching and distribution efficiency.
  • Deep understanding of recommendation systems within the content domain, leveraging business knowledge to drive AI product upgrades and improve content experience and business outcomes.
  • Lead the development of core content recommendation modules using data-driven strategies to maximize content value and user impact.
  • Collaborate with content, business, and product management teams to identify needs and opportunities within content scenarios, and jointly define success metrics.

Requirements

  • MSc or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics, with at least 5 years of relevant industry experience (experience in the content domain is preferred).
  • Strong hands-on experience with popular machine learning frameworks such as PyTorch or TensorFlow.
  • Experience in large-scale application development, preferably in content-related user-facing applications.
  • Excellent cross-team collaboration skills with the ability to work effectively with global content teams.
  • Publication record at top-tier conferences or 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.

Similar Jobs

7 Days Ago
Remote or Hybrid
Georgia, USA
Senior level
Senior level
Blockchain • Fintech • Software • Cryptocurrency • Metaverse
Design, build, and manage large-scale search and content recommendation systems using machine learning and personalization techniques. Collaborate with content, product, and business teams to define success metrics, drive AI product improvements, and maximize content value and user impact.
Top Skills: Computer VisionDeep LearningMachine LearningPersonalizationPyTorchRecommendation SystemsTensorFlow
An Hour Ago
In-Office or Remote
2 Locations
Senior level
Senior level
Artificial Intelligence • Marketing Tech • Sales • Software
Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.
Top Skills: Aurora PostgresAWSBitcoinClickhouseEthereumGithub ActionsGoHsmKubernetesMpc/TssRustSolanaTemporalTerraformThreshold Signing ProtocolsTypescript
2 Hours Ago
In-Office or Remote
Georgia, USA
Senior level
Senior level
eCommerce • Healthtech • Software
Lead analytical development for consumer health products including specification setting, method development/validation (GC, HPLC/UPLC, spectroscopy), regulatory documentation, investigations, and mentorship. Collaborate cross-functionally to support commercialization, regulatory submissions, CAPA, and audits while driving projects to completion.
Top Skills: Analytical Quality By Design (Aqbd)ChromatographyGcGmpHplcMS OfficeSpectroscopyUplc

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account