Applied AI Research Lead

This is a fully remote position, open to applicants in Netherlands.

📋 Description

• Lead applied research initiatives in retrieval, ranking, and agent-centric search systems.

• Design and enhance multi-stage retrieval pipelines, covering query understanding, rewriting, and reranking.

• Create methodologies for grounding LLMs utilizing real-time web data.

• Establish and implement evaluation methodologies and quality metrics for agent-native search.

• Oversee experimentation with contemporary retrieval techniques such as hybrid search, embedding-based systems, and cross-encoders.

• Collaborate closely with engineering teams to transition research into scalable production.

• Analyze trade-offs related to relevance, latency, and cost in large-scale systems.

• Contribute to the long-term direction of research and product development.

• Mentor engineers and researchers, elevating the team's technical standards.

⛳️ Requirements

• Over 8 years of experience in applied AI, machine learning, or software engineering.

• Proven history of deploying ML or AI systems in production environments, beyond pure research.

• Extensive experience in retrieval, ranking, search relevance, or recommendation systems.

• Strong grasp of modern deep learning methodologies, including transformers and embeddings.

• Experience working with LLM-integrated systems or knowledge-intensive AI applications.

• Practical experience in designing evaluation frameworks and defining relevant metrics.

• Proficient programming skills in Python, Go, or C++.

• Ability to thrive in a fast-paced, product-driven environment.

• Strong sense of ownership and capability to navigate ambiguous problems from start to finish.

🏝️ Benefits

• Competitive salary and a comprehensive benefits package.

• Opportunities for professional development within Nebius.

• Flexible working arrangements.

• A dynamic and collaborative work environment that encourages initiative and innovation.