AI Research Engineer – Pre training

This is a fully remote position, open to applicants in Netherlands.

📋 Description

• Execute pre-training processes for AI models on expansive, distributed servers featuring thousands of NVIDIA GPUs.

• Develop, prototype, and scale innovative architectures to improve model intelligence.

• Carry out experiments independently and in collaboration with others, analyze outcomes, and refine methodologies to achieve optimal performance.

• Explore, troubleshoot, and enhance both model efficiency and computational performance.

• Play a key role in advancing training systems to guarantee seamless scalability and efficiency across target platforms.

⛳️ Requirements

• A degree in Computer Science or a related discipline.

• Preferably a PhD in NLP, Machine Learning, or a related area, supported by a strong track record in AI R&D (with notable publications in A* conferences).

• Practical experience in contributing to large-scale LLM training operations on expansive, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and significant advancements in model performance.

• Familiarity and hands-on experience with large-scale, distributed training frameworks, libraries, and tools.

• In-depth understanding of cutting-edge transformer and non-transformer modifications aimed at boosting intelligence, efficiency, and scalability.

• Strong proficiency in PyTorch and Hugging Face libraries, with practical experience in model development, continual pretraining, and deployment.

🏝️ Benefits

• Flexible work arrangements

• Professional development opportunities