• Own the end-to-end technical recruiting pipeline for PhD AI/ML roles including full-time and internships, helping to define the process as a scalable, distributed system that must maintain a high quality bar under extreme volume. • Partner with engineering and data leaders to define role scopes, assess capability gaps, and shape hiring strategy across emerging domains like generative AI, LLMs, NLP, computer vision, and infrastructure automation. • Relentlessly monitor recruiting health metrics to translate complex data into actionable insights and strategic recommendations with hiring partners. • Act as a talent business partner to executive leadership, hiring managers, and cross-functional teams (PBPs, People Analytics, Engineering) to forecast needs, secure resources, and influence hiring velocity and quality. • Design, implement, and continuously refine scalable, end-to-end PhD hiring programs that deliver an outstanding, human-centered candidate experience from first touchpoint through conversion and onboarding. • Partner with leaders and cross functional partners to execute the PhD strategy including ML conferences, campus strategy, academic collaborations, and creative outreach strategies. • Serve as a subject matter expert on AI/ML PhD market trends and innovative sourcing techniques. • Ensure that operational excellence is at the forefront of your process - influencing and improving processes to help the team work smarter, faster, and at scale.

• Design advanced biology problems that challenge frontier AI systems • Create deterministic tasks with one correct answer • Submit complete, verified solutions • Build problems involving experimental reasoning, biological systems, computational analysis, or bioinformatics workflows • Use Python and, when relevant, specialized biology or bioinformatics tools • Ensure high standards of rigor, reproducibility, and technical clarity

• Design advanced biology problems that challenge frontier AI systems • Create deterministic tasks with one correct answer • Submit complete, verified solutions • Build problems involving experimental reasoning, biological systems, computational analysis, or bioinformatics workflows • Use Python and, when relevant, specialized biology or bioinformatics tools • Ensure high standards of rigor, reproducibility, and technical clarity

• Design advanced biology problems that challenge frontier AI systems • Create deterministic tasks with one correct answer • Submit complete, verified solutions • Build problems involving experimental reasoning, biological systems, computational analysis, or bioinformatics workflows • Use Python and, when relevant, specialized biology or bioinformatics tools • Ensure high standards of rigor, reproducibility, and technical clarity