
Senior Applied ML Engineer
Nebius Group
full-time
Posted on:
Location Type: Remote
Location: Netherlands
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Job Level
About the role
- 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.
Requirements
- 5+ years of experience in software engineering or applied machine learning
- Strong programming skills in Python, Go, or C++
- Proven experience deploying ML models in production systems
- Hands-on experience with retrieval, ranking, recommendation, or similar ML problems
- Strong understanding of machine learning and modern deep learning techniques
- Experience working 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
- Strong problem-solving skills and ability to work in a distributed team.
Benefits
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdeep learningPythonGoC++embedding-based indexingretrieval systemsevaluation frameworkshigh-throughput environmentsdata selection
Soft Skills
problem-solvingcollaborationproduct-oriented mindsetimpact focusiterationcommunicationadaptabilityteamworkanalytical thinkingdecision-making