RO

[2026] Senior Machine Learning Engineer, Account Identity - PhD Early Career

roblox· 25 open roles

Location TBD On-siteFull-time1 weeks ago
Salary
$195,780 - $242,100
Experience
Mid
Job Type
Full-time
Posted
1 weeks ago
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About This Role

Roblox is seeking a Senior Machine Learning Engineer for the Account Identity team to develop cutting-edge defenses against complex fraud and identity spoofing. The role involves building high-precision facial age estimation and real-time liveness checks. The ideal candidate will have a PhD in computer science or a related field and expertise in areas like computer vision, multimodal learning, and deepfake detection. The goal is to keep the Roblox platform secure and provide a safe experience for users. The Senior Machine Learning Engineer will work on developing in-house Facial Age Estimation products and centralizing age assurance controls.

Key ResponsibilitiesAI-extracted

  • 1
    Develop cutting-edge defenses against complex fraud and identity spoofing using modern architectures like Vision-Language Models and multimodal learning
  • 2
    Build high-precision facial age estimation and real-time liveness checks to form the critical foundation of a safe, trusted platform for users
  • 3
    Utilize expertise in computer vision, multimodal learning, deepfake detection, facial representation, and adversarial machine learning to solve complex problems
  • 4
    Work with large-scale data logs and tools like Spark and SQL to extract meaningful behavioral features
  • 5
    Build and productionize end-to-end ML development life cycles, including data engineering and scoring algorithms

RequirementsAI-extracted

  • Possess or pursue a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox's research areas
  • Expertise in one or more areas: computer vision, multimodal learning, deepfake detection, facial representation, adversarial machine learning, or VLM/LLM
  • Strong coding skills with proficiency in one or more programming languages and experience with building large-scale systems
  • Experience working with large-scale data logs and tools like Spark and SQL to extract meaningful behavioral features
  • Ability to build and productionize end-to-end ML development life cycles, including data engineering and scoring algorithms

Perks & BenefitsAI-extracted

Typically: health coverage
Typically: paid time off
Typically: equity compensation
Typically: opportunities for professional growth and development
Typically: access to comprehensive guides, FAQs, and modules designed to help with the hiring process

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