Senior Applied AI Researcher - Agentic Search

Nebius Group; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Opportunity to work on impactful AI — 

International environment and talented

Job summary

Nebius is seeking a Staff or Principal Applied AI Researcher to join a fast-growing team building an agent native search platform. You will own key parts of our applied AI research direction, design retrieval and ranking systems, and mentor engineers while delivering production-ready systems at scale.

Work on end-to-end ML pipelines, embeddings, transformers, and real-time web data grounding, focusing on latency and reliability under production workloads.

Qualifications

• 8+ years of experience in applied AI, ML, or software engineering.
• Proven track record of shipping ML or AI systems to production at scale.
• Deep experience with search, retrieval, ranking, recommendation systems, or assistants.
• Strong understanding of modern deep learning, especially transformers and embeddings.
• Experience with LLM integrated or knowledge intensive systems.
• Experience designing evaluation frameworks and metrics for ML systems.
• Strong programming skills in Python and at least one of Go, C++, or similar.
• Ability to operate in a fast moving, product driven environment with high ownership and autonomy.

Responsibilities

• Drive applied research and technical direction across retrieval and ranking systems.
• Design and evolve multi stage retrieval architectures (query understanding, rewriting, reranking, iterative retrieval).
• Develop methods for grounding LLMs in real time web data at scale.
• Define and implement new evaluation paradigms and metrics for agentic systems, where correctness is not reducible to clicks.
• Lead experimentation on modern retrieval approaches (embeddings, hybrid search, reranking) and bring them into production.
• Analyse trade-offs across relevance, latency, and cost at scale.
• Work closely with engineering to deploy systems in high throughput, low latency environments.
• Own ambiguous problems end to end and contribute to product and research direction.
• Mentor engineers and help raise the technical bar of the team.

Skills

Applied AI

ML systems

Search systems

Python

Go

C++

Job description

Nebius is seeking a Staff or Principal Applied AI Researcher to join a fast-growing team building an agent native search platform. You will own key parts of our applied AI research direction, design retrieval and ranking systems, and mentor engineers while delivering production-ready systems at scale.

Work on end-to-end ML pipelines, embeddings, transformers, and real-time web data grounding, focusing on latency and reliability under production workloads.