Nebius is a Nasdaq-listed tech company that aims to become one of the world’s leading AI infrastructure providers. Headquartered in Amsterdam, we have R&D and commercial hubs across the US, Europe and Israel.
We build full-stack AI infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms and tools and services for developers. Our 500 employees include around 400 highly skilled engineers with a proven track record of developing world-class hardware and software solutions across cloud and AI/ML.
We are rapidly growing our infrastructure network with an ambitious investment program to build out data centers and colocations in the US and Europe. A Reference Platform NVIDIA Cloud Partner, Nebius’ AI-native cloud platform provides high-end infrastructure and tools for training, fine-tuning and inference.
Nebius is growing fast, and we’re always looking for the best talent to join our company. Along with highly competitive compensation and extensive opportunities for professional development, we offer a dynamic work environment where innovation, creativity and teamwork are highly prized and open up exciting new opportunities. As an equal opportunity employer, we are committed to fostering a diverse and inclusive workplace, where all applicants are given fair consideration and every team member is empowered to contribute to their fullest potential.
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!
Top Skills
What We Do
Cloud platform specifically designed to train AI models
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