The Role
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* Develop and implement privacy-preserving AI techniques to safeguard sensitive data.
* Create scalable and compliant AI infrastructure that aligns with industry standards for data protection.
* Collaborate with researchers and engineers to integrate privacy-focused architectures into large-scale AI models.
* Work closely with cloud providers to deploy secure AI workflows in a cloud environment.
* Stay up-to-date with the latest research in privacy-enhancing technologies and AI security.
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About This Opportunity
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* Expertise in building public cloud infrastructure, utilizing tools such as Terraform.
* Familiarity with Linux containers and orchestration systems like Kubernetes.
* Strong Python skills for scripting and application development.
* Knowledge of data security, encryption protocols, and cryptographic techniques.
* Familiarity with cloud-based AI model training and secure distributed computing.
* Understanding of regulatory frameworks related to AI and data security.
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Benefits
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We are dedicated to fostering a collaborative and creative workplace where talented individuals can grow and thrive. If you are passionate about working at the intersection of platform engineering, machine learning, and security, we encourage you to apply.
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Preferred Qualifications (Senior-Level Candidates)
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* Experience with privacy-preserving AI techniques (federated learning, differential privacy, homomorphic encryption, secure enclaves).
* Strong background in security topics such as encryption, identity management, and networking.
* Understanding of threat models in AI security and adversarial machine learning.
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If you're interested in this opportunity, please submit your application.