Senior ML Engineer (Agentic Search)

NebiusAmsterdam AreaRemoteFull-time3 weeks ago

Nebius is seeking a Senior ML Engineer to build an agent-native search platform for AI systems, developing and deploying ML models for retrieval, ranking, and indexing at scale. The role requires 5+ years of software engineering or applied ML experience, strong Python/Go/C++ skills, and proven production ML deployment. This is a remote, full-time position with high impact on a 24x7 production system.

What you'll do

Design, train, and deploy ML models for retrieval, reranking, and search relevance in production
Build and optimise 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

What you need

Must-have

PythonGoC++Machine LearningDeep LearningRetrievalRankingRecommendation Systems

Nice-to-have

Search SystemsInformation RetrievalEmbeddingsTransformersNLPLLM-powered SystemsAgent-based SystemsOpen-source ContributionsKaggle

Soft skills

Problem-solvingProduct-oriented mindsetCollaborationCommunicationAbility to work in a distributed team

ML EngineerAgentic SearchAICloud InfrastructureRetrievalRankingPythonGoC++Remote

/What you'll do

/What you need

Must-have

Nice-to-have

Soft skills

What you'll do

What you need