Our Partner is seeking an AI-Natural Language Processing Engineer to join their team at the forefront of the AI revolution. As a pioneering organization, they focus on developing scientific AI and large-scale language models (LLMs) to empower researchers with a cutting-edge, ethical, and explainable AI-guided exploration and prediction platform. Their goal is to deliver powerful insights and innovative hypotheses from scientific data.

It is a hybrid role in Barcelona with salary ranges up to 70k.

Description:

In this role, you will contribute to enhancing our proprietary LLMs by architecting, implementing, and managing the infrastructure for training these models. Additionally, you will be involved in optimizing their performance and conducting pioneering research in language modeling.

We are looking for individuals who excel in solving complex challenges and have a strong foundation in machine learning and deep learning systems. As a valued member of our team, we encourage independent thinking, a structured approach to problem-solving, and a proactive approach to taking ownership of projects.

Key Responsibilities:

• Conduct research and development to create state-of-the-art large language models and machine learning algorithms.
• Contribute to the ongoing development and refinement of our AI-guided, explorative workflow platform, aimed at revealing novel insights from complex datasets.
• Apply best practices for machine learning development, including data exploration, cleaning, model training, fine-tuning, validation, and deployment.
  
  

About You:

• Proficient in Python and experienced in architecting, implementing, and managing large-scale machine learning and deep learning systems.
• Deep understanding and practical experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
• A PhD/MSc in Machine Learning, Computer Science, or related fields, or significant experience in building distributed systems would be a valuable asset.
• Apply, join their team and be part of the mission to revolutionize AI-guided scientific research, contributing to advancements that will have a meaningful impact in the field of artificial intelligence.