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Senior Quality Engineer - AI/ML and IT Infrastructure Specialist

Kite Pharma

$123,930 - $160,380
Aug 27, 2025
Oceanside, CA, USA • Santa Monica, CA, USA • Frederick, MD, USA
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Kite is seeking to develop treatments and cure cancer, and is looking for a Senior Quality Engineer to drive the Quality Assurance strategy for AI/ML initiatives and support Quality oversight for IT infrastructure hosting Kite Applications.

Requirements

  • Experience in Quality Engineering and AI platform Experience with AI governance frameworks and regulatory compliance
  • At Least 2 years in AI platform Experience with AI governance frameworks and regulatory compliance.
  • Experience in quality management systems for the AI model lifecycle.
  • Familiarity with quality assurance tools and best practices for cloud-based AI/ML platforms.
  • Experience with quality assessment and validation of reinforcement learning applications for autonomous systems.
  • Experience working within different automated testing frameworks
  • Strong understanding of server, network and cloud technologies

Responsibilities

  • Support leadership in defining and implementing comprehensive quality assurance processes and methodologies throughout the AI/ML lifecycle, from data acquisition and model development to deployment and monitoring.
  • Support quality strategy and framework for all AI/ML initiatives across the organization, ensuring adherence to quality principles and standards.
  • Develop and implement quality checks within comprehensive frameworks for responsible and compliant AI utilization, ensuring adherence to ethical standards and regulatory requirements.
  • Champion the implementation of quality checks for techniques ensuring the explainability and interpretability of AI models, fostering trust and understanding among both technical and non-technical stakeholders.
  • Serve as the primary point of contact and subject matter expert for AI/ML quality-related policies, procedures, and guidelines
  • Develop and enforce quality standards for robust systems and processes across the entire AI model lifecycle, including continuous model monitoring, retraining strategies, and performance optimization.
  • Ensure infrastructure meets security standards and regulatory requirements.

Other

  • Master’s degree in Computer Science, Engineering or related field with 4+ years of experience
  • Bachelor’s degree in Computer Science, Engineering or related field with 6+ years of experience
  • Associate’s degree in Computer Science, Engineering or related field with 8+ years of experience
  • High School Degree with 10+ years of experience
  • Kite Pharma is committed to providing equal employment opportunities to all employees and applicants for employment