• Drive forward-looking ML research to shape Nebius’ AI platform and PaaS roadmap, translating frontier developments into clear product direction and priorities. • Convert state-of-the-art ML pipeline insights into actionable requirements, reference architectures, benchmarks, and gap analyses. • Partner cross-functionally with Product, Engineering, and ML teams to align platform capabilities with emerging ML workloads and best-practice stacks. • Build strategic collaborations with universities, research labs, and the broader ML ecosystem to accelerate innovation and credibility. • Establish quality standards for ML-enabled services, including evaluation rigor, reproducibility, reliability, and responsible ML practices. • Engage strategic customers to understand complex ML scenarios and translate them into clear functional and non-functional requirements. • Provide senior technical leadership during evaluations, architecture reviews, and escalations, ensuring customer realities inform platform decisions. • Articulate and communicate a clear vision for AI-enabled applications and the infrastructure stack required to support them, influencing both technical and executive audiences.