We are seeking a talented AI Frontier Model Scientist who has recently completed their PhD to join our cutting-edge team.
This position is specifically designed for fresh PhD graduates looking to apply their research expertise in a dynamic industry setting.
In this role, you'll tackle complex challenges in large language models (LLMs), optical character recognition (OCR), and model scaling.
You'll be at the forefront of developing and optimizing AI systems that push the boundaries of what's possible in machine learning.
Key responsibilities include leading research initiatives to improve OCR accuracy across diverse document types and languages, training and fine-tuning LLMs using domain-specific data, developing techniques to scale LLMs efficiently, designing and implementing novel approaches to model optimization, collaborating with cross-functional teams, staying current with the latest research, and documenting methodologies and findings.
Requirements:
A PhD in Computer Science, Machine Learning, AI, or a related field is required, completed within the last year.
A strong understanding of deep learning architectures, particularly transformer-based models, is necessary.
Experience with OCR systems and techniques for improving text recognition accuracy is essential.
Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX is required.
Candidates must demonstrate the ability to implement and adapt research papers into working code.
Excellent problem-solving skills with a methodical approach to experimentation are needed.
Strong communication skills to explain complex technical concepts clearly are required.
Benefits:
We offer an ideal transition from academic research to industry application.
A structured onboarding program designed specifically for recent PhD graduates is provided.
There is an opportunity to work on frontier AI models with real-world impact.
Access to significant computing resources for ambitious research is available.
A collaborative environment with other top AI researchers and engineers is fostered.
Flexible work arrangements and competitive compensation are part of the package.
Support for continued professional development and conference attendance is offered.
There is a clear path for growth into senior technical or leadership roles.