Senior ML Engineer for Agentic Search Platform

Nebius Group; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Nebius is seeking a Senior ML Engineer to design, train, and deploy ML models for retrieval, ranking, and indexing at scale. You will build embedding‑based indexing and large‑scale retrieval systems, and develop models for crawling, data selection, and content understanding.

You will join a fast-growing team building an agent-native search platform powering AI systems and real-time information access. Expect production-grade challenges and close collaboration with engineers.

Qualifications

• 5+ years of software engineering or machine learning experience.
• Proficient in Python, Go, or C++.
• Experience deploying ML models in production.
• Experience with retrieval, ranking, or similar ML problems.
• Knowledge of ML and modern deep learning techniques.
• Experience with large-scale data systems and high-throughput environments.
• Ability to design evaluation frameworks and define meaningful model metrics.
• Product-oriented mindset with a focus on impact and iteration.
• Ability to work in a distributed team.

Responsibilities

• Design, train, and deploy ML models for retrieval, reranking, and search relevance in production
• Build embedding-based indexing and large-scale retrieval systems
• Develop models supporting crawling, data selection, and content understanding
• Define and improve quality metrics for agent-native search and build evaluation pipelines
• Work on systems operating at very large scale, including high-throughput query workloads
• Collaborate closely with engineering teams to integrate ML models into production services
• Analyse performance trade-offs across latency, quality, and cost
• Experiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems
• Contribute to product and architectural decisions in a fast-moving environment

Skills

ML model design

Evaluation metrics

Large-scale data processing

Creative problem solving

Distributed teamwork

Tools

Python

Go

C++

Job description

Nebius is seeking a Senior ML Engineer to design, train, and deploy ML models for retrieval, ranking, and indexing at scale. You will build embedding‑based indexing and large‑scale retrieval systems, and develop models for crawling, data selection, and content understanding.

You will join a fast-growing team building an agent-native search platform powering AI systems and real-time information access. Expect production-grade challenges and close collaboration with engineers.