Senior ML Engineer, AI Research

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November 5

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Nebius Group

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AI • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

1001 - 5000 employees

🏢 Enterprise

☁️ SaaS

📋 Description

• Conducting 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

🎯 Requirements

• 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 • Experience with deep reinforcement learning for LLMs, including techniques such as reward modeling, DPO, PPO etc. • Familiarity with important ideas in LLM space, such as MHA, RoPE, ZeRO/FSDP, Flash Attention, quantization • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Master’s or PhD preferred. • Track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment • Experience in engineering complex systems, such as large distributed data processing systems or high-load web services • Open-source projects that showcase your engineering prowess • Excellent command of the English language, alongside superior writing, articulation, and communication skills. • Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.

🏖️ 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.