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Senior / Staff AI Engineer, Computer Vision

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OKX

OKX is a leading global cryptocurrency exchange offering a wide range of trading services, including spot and derivatives trading, as well as Web3 solutions.

Recently funded0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 8/14/2026

C/O APPLEBY GLOBAL SERVICES (SEYCHELLES) LIMITED, Suite 202, 2nd Floor, Eden Plaza, Eden Island, PO Box 1352, Mahe, Victoria, Seychelles, Seychelles

Funding history

About OKX

OKX is a global cryptocurrency exchange known for its trading services and financial products. The platform offers a wide range of features, including spot and derivatives trading, staking services, and a user-friendly interface suitable for both beginners and experienced traders.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You lead the design, training, and deployment of deep-learning and multimodal models, build production AI pipelines for OCR, biometric matching, fraud recognition, and AIGC detection, develop anti-spoofing and quality models, create identity and trust signals, drive applied research, collaborate across functions, and mentor senior engineers.

Requirements

  • 8+ years of hands-on experience developing AI/ML solutions
  • Experience with computer vision, AI agents, multimodal learning, vision-LLM, or generative video/image modeling
  • Experience deploying AI/ML systems into production
  • Proficiency with PyTorch and/or TensorFlow
  • Experience with large-scale production ML systems
  • Strong coding ability in Python
  • Experience designing end-to-end AI solutions
  • Experience leading cross-team technical initiatives
  • Communication and leadership skills
  • Experience influencing technical direction
  • Experience mentoring senior engineers
  • Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field
  • Experience with identity verification, KYC/KYB, AML, fraud detection, biometric security, or media forensics
  • Experience with OCR, document parsing, fake-ID detection, or document-security systems
  • Familiarity with real-time and low-latency AI systems
  • Knowledge of Spark, Flink, Kafka, Airflow, or Snowflake
  • Familiarity with MLOps

Responsibilities

  • Lead end-to-end design, training, and deployment of deep-learning and multimodal models
  • Build and own production-grade AI pipelines for OCR, text extraction, biometric matching, fraud-pattern recognition, and AIGC detection
  • Lead anti-spoofing capabilities against presentation, injection, and DeepFake attacks
  • Develop image and video quality models
  • Build identity-quality and trust signals from behavioral and cross-modal indicators
  • Partner with backend, product, infrastructure, risk, and compliance teams
  • Drive experimentation in vision-LLM, multimodal representation learning, and AI agents
  • Translate research advances into production-ready defenses
  • Mentor senior engineers
  • Set high engineering standards and promote applied-AI best practices

Benefits

  • Competitive salary
  • Comprehensive benefits
  • Competitive total compensation package
  • L&D programs
  • Education subsidy
  • Team building programs
  • Company events
  • Wellness allowances
  • Meal allowances
  • Comprehensive healthcare schemes for employees and dependants