Senior ML Engineer (AI Research)
Hybrid (Amsterdam / Europe)full-timePosted 7mo ago
About the role
Senior/Staff level ML engineer sought for Nebius AI R&D to conduct applied research in AI, focusing on guided search, reinforcement learning for reasoning models, web-scale data collection, and efficient model distillation. Role involves designing experiments, analyzing results with statistical rigor, and contributing to publications.
Responsibilities
- Conduct experiments to figure out efficient ways to train a large language model on traces of interactions with various environments
- Exploring methods of guided generation and search in the trajectory space
- Coming up with ways to mine relevant data at web scale and figuring out efficient ways to use this data in model post-training
- Conducting experiments with different reinforcement learning configurations in verifiable domains
- Exploring methods to train AI agents on tasks with non-verifiable reward signals
Qualifications
- A profound understanding of theoretical foundations of machine learning and reinforcement learning
- Deep expertise in modern deep learning for language processing and generation
- Substantial experience with training large models on multiple computational nodes
- Strong software engineering skills (we mostly use python)
- Deep experience with modern deep learning frameworks (we use jax)
- Strong communication and leadership abilities
- Experience designing, executing, and analyzing machine learning experiments with proper statistical rigor
- Ability to formulate research questions, design experiments to test hypotheses, and draw meaningful conclusions from results
- Ability to document research findings clearly and contribute to technical publications or report
Skills
Required:Theoretical ML / RL foundationsDeep learning for language processing and generationDistributed training on multiple nodesPython programmingJAX frameworkExperiment design and statistical rigorScientific communication / publications
Benefits
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
Last updated Sep 23, 2026. Interested? Apply on the company site.
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