AI Security Engineer

About Us:

Structure Therapeutics develops lifechanging medicines for patients using advanced structurebased and computational drug discovery technology. The companys 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 clinicalstage 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.

The ideal candidate will have a strong background in cybersecurity experience with AI/ML systems and expertise in cloud security particularly within AWS environments.

As part of our newStructure Brain initiative we are building an AI/ML platform on AWS to drive cutting-edge solutions in biotechnology. We are seeking an AI Security Engineer to join our team and ensure the security and governance of our AI systems.

Job Responsibilities:

• AI/ML Security Design and Implementation:
  • Develop and implement security controls for AI/ML models including data protection model integrity and adversarial attack mitigation.
  • Secure data pipelines and ensure compliance with data privacy regulations (e.g. GDPR HIPAA).
  • Integrate security best practices into AI/ML workflows including secure model training and deployment.
• Cloud Security:
  • 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.
  • Monitor and respond to security incidents within the AI/ML platform.
• AI Governance and Policy Development:
  • Collaborate with the Director of Security and Compliance to develop AI governance frameworks including ethical AI use and risk management.
  • Create and enforce security policies for AI systems ensuring alignment with industry standards and regulatory requirements.
  • Conduct risk assessments and audits of AI/ML systems to identify and mitigate vulnerabilities.
• Collaboration and Support:
  • Work closely with Data Engineers ML Engineers and DevOps Engineers to embed security into the AI/ML development lifecycle.
  • Provide guidance and training to team members on AI security best practices.
  • Support the Technical Project Manager in ensuring security milestones are met within project timelines.
• Threat Monitoring and Incident Response:
  • Monitor AI/ML systems for potential threats including adversarial AI attacks and data breaches.
  • Develop and execute incident response plans specific to AI/ML environments.
  • Stay updated on emerging AI security threats and incorporate proactive measures.

Qualifications:

• • Bachelors degree in Computer Science Cybersecurity Information Technology or a related field. Masters degree preferred.
  • 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.
  • Experience developing or implementing security policies and governance frameworks.
  • Knowledge of data privacy regulations (e.g. GDPR HIPAA) and their application to AI systems.
• Certifications (Preferred):
  • AWS Certified Security Specialty
  • Certified Ethical Hacker (CEH)
  • Certified AI Practitioner (CertNexus) or equivalent AI-focused certification
• Technical 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.

Travel:

• Remote employees will need to be present for monthly connection weeks company meetings and/or industry conferences.

Location

Structure Therapeutics has a strong preference for candidates based in the San Francisco Bay Area who are able to work a hybrid schedule from the companys office. The role is expected to require regular in-office presence to support close collaboration with cross-functional teams executive leadership and external partners. Candidates outside the Bay Area may be considered in exceptional cases but the ability to work effectively on a hybrid basis in the San Francisco office is strongly preferred.

Structure Therapeutics Inc. is an Equal-Opportunity Employer.

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 $147000-$184800. The exact base pay offered for this role will depend on various factors including but not limited to the candidates geography qualifications skills and experience.

At Structure base pay is only one part of your total compensation package. 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.

Notice to Recruiters/Staffing Agencies

Recruiters and staffing agencies should not contact Structure Therapeutics through this page. All recruitment vendors (search firms recruitment agencies and staffing companies) are prohibited from contacting our hiring manager(s) executive team members or employees.

We require that all recruiters and staffing agencies have a fully executed formal written agreement on file.

Structure Therapeutics receipt or acceptance of an unsolicited resume submitted by a vendor organization to this website or employee does not constitute an actual or implied contract between Structure Therapeutics and such organization and will be considered unsolicited and Structure Therapeutics will not be responsible for related fees.

Fraud Alert

To all candidates: your personal information and online safety are a top priority for us. At Structure Therapeutics direct candidates to apply through our official career page atBambooHR.

Recruiters will always contact you using the domain of . We will never request payments ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Structure Therapeutics please email human resources.

Required Experience:

Senior IC