structuretx

structuretx

AI Security Engineer

South San Francisco, California

Sponsorship not specified$147k-$185kDetected 5 hours ago
PythonBashAWSCloud PlatformsDockerKubernetesCI/CDLinuxDevOpsMachine LearningTensorFlowPyTorchData EngineeringCybersecurityNetwork SecurityIncident ResponseComplianceProject ManagementHIPAAFDA RegulatoryLeadershipCollaboration

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About the role

  • The AI Security Engineer will be a key member of the "Structure Brain" initiative, responsible for designing, implementing, and maintaining security measures for our AI/ML platform on AWS.
  • This role will focus on securing AI models, data pipelines, and infrastructure while contributing to the development of AI governance and security policies.
  • We are seeking an AI Security Engineer to join our team and ensure the security and governance of our AI systems.

Responsibilities

  • Security Design and Implementation:
  • Develop and implement security controls for AI/ML models, including data protection, model integrity, and adversarial attack mitigation.
  • Design and maintain secure AWS architectures for AI/ML workloads, leveraging services like AWS SageMaker, Lambda, and S3.
  • Implement identity and access management (IAM) policies, encryption, and network security controls in AWS.
  • Collaborate with the Director of Security and Compliance to develop AI governance frameworks, including ethical AI use and risk management.
  • Collaboration and Support:
  • AI/ML Security Design and Implementation:
  • Create and enforce security policies for AI systems, ensuring alignment with industry standards and regulatory requirements.

Requirements

  • Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or a related field.
  • 5+ years of experience in cybersecurity, with at least 2 years focused on securing AI/ML systems or cloud-based environments.
  • Hands-on experience with AWS security tools and services (e.g., AWS IAM, KMS, CloudTrail, GuardDuty).
  • Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and their security implications.
  • Knowledge of data privacy regulations (e.g., GDPR, HIPAA) and their application to AI systems.
  • The ideal candidate will have a strong background in cybersecurity, experience with AI/ML systems, and expertise in cloud security, particularly within AWS environments.
  • Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or a related field. Master's degree preferred.
  • Experience developing or implementing security policies and governance frameworks.
  • Technical Skills:

Nice to have

  • AWS Certified Security - Specialty
  • Certified Ethical Hacker (CEH)
  • Certified AI Practitioner (CertNexus) or equivalent AI-focused certification
  • Master's degree preferred.
  • Certifications (Preferred):

Skills

  • Proficiency in securing cloud environments, particularly AWS.
  • Experience with secure coding practices and vulnerability management.
  • Knowledge of AI-specific security risks, such as model inversion, data poisoning, and adversarial attacks.
  • Familiarity with Linux-based systems and scripting (e.g., Python, Bash).
  • Understanding of DevOps practices and tools (e.g., Docker, Kubernetes, CI/CD pipelines).
  • Experience in the BioTech or healthcare industry, with knowledge of regulatory compliance (e.g., FDA, HIPAA).
  • Familiarity with AI ethics and governance frameworks.
  • Prior experience working on large-scale AI/ML projects in a cloud environment.
  • Remote employees will need to be present for monthly connection weeks, company meetings and/or industry conferences.
  • Structure Therapeutics Inc. is an Equal-Opportunity Employer.

Compensation

  • Structure Therapeutics is committed to fair and equitable compensation practices, and we strive to provide employees with total compensation packages that are market competitive.
  • For this role, the anticipated base pay range is $147,000-$184,800.
  • At Structure, base pay is only one part of your total compensation package.

Benefits

  • The successful candidate will be eligible for an annual performance incentive bonus, new hire equity, and ongoing performance-based equity.
  • Structure Therapeutics also offers various benefits offerings, including, but not limited to, medical, dental, and vision insurance, 401k match, unlimited PTO, and a number of paid holidays including winter shutdown.

Company info

  • Structure Therapeutics develops life‐changing medicines for patients using advanced structure‐based and computational drug discovery technology. The company's platform combines the latest advancements in visualization of molecular interactions, computational chemistry, and data integration to design orally available, superior small molecule medicines that overcome current limitations of biologic and peptide drugs. We are advancing a clinical‐stage pipeline of differentiated treatments focused on chronic diseases with high unmet need, including cardiovascular, metabolic, and pulmonary conditions.
  • Structure Therapeutics is led by an experienced group of international drug innovators and financed by top-tier global life sciences investors. The company completed an initial public offering (IPO) in February 2023. With offices in California and Shanghai, Structure Therapeutics has the benefit of being at the center of life science innovation in both the US and China and capitalizing on the strengths of each geographic location.
  • Position Summary:
  • The AI Security Engineer will be a key member of the "Structure Brain" initiative, responsible for designing, implementing, and maintaining security measures for our AI/ML platform on AWS. This role will focus on securing AI models, data pipelines, and infrastructure while contributing to the development of AI governance and security policies.
  • Structure Therapeutics develops life‐changing medicines for patients using advanced structure‐based and computational drug discovery technology.
  • The company's platform combines the latest advancements in visualization of molecular interactions, computational chemistry, and data integration to design orally available, superior small molecule medicines that overcome current limitations of biologic and peptide drugs.
  • We are advancing a clinical‐stage pipeline of differentiated treatments focused on chronic diseases with high unmet need, including cardiovascular, metabolic, and pulmonary conditions.
  • Structure Therapeutics is led by an experienced group of international drug innovators and financed by top-tier global life sciences investors.
  • The company completed an initial public offering (IPO) in February 2023.
  • With offices in California and Shanghai, Structure Therapeutics has the benefit of being at the center of life science innovation in both the US and China and capitalizing on the strengths of each geographic location.
  • As part of our new " Structure Brain" initiative, we are building an AI/ML platform on AWS to drive cutting-edge solutions in biotechnology.
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