Senior / Staff ML Engineer (LLMs and Agentic Systems)

Why work at Nebius

Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work

Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 500 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

The role

LLM team is currently in search of senior and staff-level ML engineers to work on the agentic models for software engineering tasks. 

Learn more about what our team is working on by visiting this link.

Your responsibilities will include: 

• 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 web-scale data for examples relevant to the tasks of interest and figuring out efficient ways to do post-pretraining on that data
• Ensuring that infrastructure for running models on agentic tasks is robust and performant 

We expect you to have: 

• A profound understanding of theoretical foundations of machine learning
• Deep expertise in modern deep learning for language processing and generation
• Substantial experience with training large models on multiple nodes
• Reasonable understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
• Strong software engineering skills (we mostly use python)
• Deep experience with modern deep learning frameworks (we use jax)
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
• Strong communication and leadership abilities 

Nice to have: 

• 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 

What we offer 

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth within Nebius.
• Hybrid working arrangements.
• A dynamic and collaborative work environment that values initiative and innovation.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!