Senior AI Researcher

Role Description

We are responsible for inventing and developing AI models that can perform previously impossible tasks or achieve unprecedented levels of performance.

The most outstanding deep learning results are increasingly attained at a massive scale. These results require researchers who are comfortable designing, experimenting, and scaling novel machine learning approaches. We are building a new class of models trained on unique, large-scale datasets, requiring new algorithms and model architectures.

We believe research and engineering will play the key role in most major advances in AI of the future. As a member of this team, you will:

Key Responsibilities

• Conduct cutting-edge research in natural language processing (NLP) and large language models (LLMs).
• Design, train, and optimize large-scale neural network models for advanced applications.
• Transition research projects from ideation through deployment and scaling.
• Define and contribute to the AI and NLP product roadmap.

Minimum Qualifications

• M.Sc. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• 5+ years of experience in applied AI research.
• Strong programming skills, particularly in Python and ML frameworks (e.g., TensorFlow, PyTorch).
• Solid understanding of NLP with specific experience in modern Large Language Models (LLM) and generative models.
• Production Expertise: Proven expertise in designing, implementing, and evaluating deep learning models in a production environment.

Preferred Qualifications

• Experience specifically with training Large Generative Language Models.
• Knowledge of distributed computing and infrastructure for training large models.
• Interest in exploring novel architectures for LLMs.