Staff ML Engineer Large Language Models

The company

Nebius AI is an AIcentric public cloud platform specifically crafted to serve AI models for training and inference.

Our mission is to help ML practitioners concentrate on their core jobs while DevOps MLOps and infrastructurerelated tasks are handled by us. The idea is to build an MLspecific cloud platform covering the entire ML lifecycle from A to Z: from data preparation and labeling to ML training and inference.

We recognize the potential of ML and AI technologies and aim to provide our future users with the perfect environment to train and finetune their models. We are committed to delivering the best user experience and excellent customer support.

Four development hubs:
Nebius is headquartered in the Netherlands with hubs in Finland Serbia and Israel.

Data center in Europe:
Our own data center in Finland features server racks designed inhouse for MLspecific high load with powerefficient solutions including a freecooling system.

500 professionals:
Our mature team of engineers has a proven track record in developing sophisticated cloud and ML solutions and designing cuttingedge hardware.

Our Team
Nebius Large Language Models (LLM) team is dedicated to pushing the boundaries of language modelling technology.

We are focused on developing a stateoftheart LLM technological stack that spans foundational model training and webscale data collection. Our overarching objective is to pioneer cuttingedge language generation technology for both internal use and customer applications driving the evolution of the next generation of AIpowered products.

The Role
We are currently in search of Staff Machine Learning (ML) engineers with exceptional skill sets and a passion for large language models. Your invaluable contributions will play a pivotal role in shaping our advanced LLM stack.

In this position your responsibility will be to:

• Conduct experiments with innovative deep learning methods to improve our models.
• Explore techniques to enhance of our pretraining and alignment data.

We expect you to have:

• 5 years experience in a Machine Learning or AI related role
• Substantial industrial or academic experience with large language models and generative AI.
• A profound understanding of the theoretical foundations of machine learning.
• Familiarity with modern deep learning frameworks such as TensorFlow PyTorch or JAX.
• Proficiency in contemporary software engineering approaches including CI/CD version control and unit testing.
• A commitment to maintaining extreme rigor in all jobrelated activities.

Additional Advantages:

• Previous experience working with language models or other similar NLP technologies.
• Track record of building and delivering products (not necessarily MLrelated) in a dynamic startuplike environment.
• Strong engineering skills including experience in developing large distributed systems or highload web services.
• Opensource projects that showcase your engineering prowess.

Does all that sound like your kind of challenge Then join us!