• Available to teach synchronous online courses via Microsoft Teams • Plan and organize instruction in ways that maximize student learning and engagement • Modify instructional methods and strategies to meet diverse student’s needs • Employ appropriate teaching and learning strategies to communicate subject matter to students via a synchronous online format • Demonstrate a thorough and accurate knowledge of their field or discipline • Ensure Student Database is fully updated and accurate regarding student grade record information • Promote collaboration with other staff members and participate in the implementation of new projects, ideas, etc.

• Teaching: Available to teach synchronous online courses via Microsoft Teams • Plan and organize instruction in ways that maximize student learning and engagement • Modify, where appropriate, instructional methods and strategies to meet diverse student’s needs • Employ appropriate teaching and learning strategies to communicate subject matter to students via a synchronous online format (Microsoft Teams) • Current certifications in subjects taught • Demonstrate a thorough and accurate knowledge of their field or discipline • Connect their subject matter with related fields • Stay current in their subject matter through professional development, through involvement in professional organizations, and attending professional meetings, conferences, or workshops • Ensure Student Database is fully updated and accurate at all times regarding student grade record information • Maintain compliance with accreditation related to instructional and the quality of education, scheduled class hours requirements and CIAT policies and procedures • Promote collaboration with other staff members and participate in the implementation of new projects, ideas, etc. • Adhere to the CIAT business casual attire.

• Serve as the team’s technical lead and mentor, guiding ICs through design, experimentation, and implementation while raising the technical bar. • Define and drive the Safety ML team’s technical strategy and roadmap. • Set the bar in technical reviews, including code, design, and architecture, ensuring the team builds scalable, robust, and high-quality ML systems. • Collaborate cross-functionally with product, data science, policy, legal, and engineering partners to align on safety goals and deliver effective solutions. • Tackle the most complex and high-impact challenges in safety, including adversarial abuse, harmful content detection, and evolving threat vectors. • Develop cutting-edge safety techniques, applying state-of-the-art ML to detect and prevent harm while staying ahead of emerging abuse patterns • Influence the company’s direction on safety, clearly communicating trade-offs and technical constraints to senior leadership and stakeholders.

• Help develop AI-based biomarkers that support the personalization of cancer therapy. • Work on multimodal deep-learning models that integrate large-scale pathology whole-slide images with diverse modalities to predict patient risk and response to therapy. • Contribute to developing robust, scalable solutions in this space. • Collaborate closely with fellow ML engineers, biostatisticians, scientific directors, and product partners to build, validate, and deploy models that ultimately impact patient care.