Senior ML Engineer – AI Research & Impact

Jobicy; United States; À distance; USD 180 000 - 280 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Career growth & learning opportunities

Flexibility & ownership

Collaborative and innovative culture

Impactful AI projects

International environment & talented团队

Résumé du poste

Nebius AI R&D is seeking senior- and staff-level ML engineers to work on applied research in AI. You will contribute to projects across guided search, reinforcement learning for reasoning models, and efficient data collection at web scale.

Strong Python/JAX skills and distributed training experience are essential for delivering impactful results. The role focuses on building scalable AI systems, publishing findings, and collaborating with cross-functional teams to translate research into

Qualifications

• Profound understanding of ML and RL theory.
• Deep expertise in deep learning for language processing.
• Experience training large models on multiple compute nodes.
• Strong software engineering skills (Python).
• Experience designing ML experiments with statistical rigor.

Responsabilités

• Run experiments to train large language models on traces from various environments.
• Explore guided generation and search in trajectory space.
• Mine web-scale data and use it for post-training.
• Experiment with RL configurations in verifiable domains.
• Train AI agents on tasks with non-verifiable rewards.

Connaissances

ML theory

Deep learning for language

Distributed training

Python

Research experiments

Formation

Bachelor’s in CS/AI/Data Science

Master’s or PhD preferred

Outils

JAX

Python

CI/CD

Description du poste

Nebius AI R&D is seeking senior- and staff-level ML engineers to work on applied research in AI. You will contribute to projects across guided search, reinforcement learning for reasoning models, and efficient data collection at web scale.

Strong Python/JAX skills and distributed training experience are essential for delivering impactful results. The role focuses on building scalable AI systems, publishing findings, and collaborating with cross-functional teams to translate research into