Director, Machine Learning Research (Product)

Tech Stack

Responsibilities

• 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.

Soft Skills

Benefits

• Equity
• Flexible Hours
• Learning Budget
• Remote Work

Culture

Requirements