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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:
Lead research initiatives to improve OCR accuracy across diverse document types and languages
Train and fine-tune LLMs using domain-specific data to enhance performance in specialized contexts
Develop techniques to scale LLMs efficiently for high-volume production environments
Design and implement novel approaches to model optimization and evaluation
Collaborate with cross-functional teams to integrate AI solutions into production systems
Stay current with the latest research and incorporate state-of-the-art techniques
Document methodologies, experiments, and findings for both technical and non-technical audiences
Required Qualifications:
PhD in Computer Science, Machine Learning, AI, or a related field (completed within the last year)
Strong understanding of deep learning architectures, particularly transformer-based models
Experience with OCR systems and techniques for improving text recognition accuracy
Proficiency in Python and deep learning frameworks (PyTorch, Tensor Flow, or JAX)
Demonstrated ability to implement and adapt research papers into working code
Excellent problem-solving skills with a methodical approach to experimentation
Strong communication skills to explain complex technical concepts clearly
Preferred Qualifications:
Research focus during PhD in areas relevant to our work (NLP, computer vision, multimodal learning)
Familiarity with distributed training systems for large-scale models
Experience with model quantization, pruning, and other efficiency techniques
Understanding of evaluation methodologies for assessing model performance
Knowledge of MLOps practices and tools for model deployment
Publications at top-tier ML conferences (NeurIPS, ICML, ACL, CVPR, etc.)
What We Offer:
Ideal transition from academic research to industry application
Structured onboarding program designed specifically for recent PhD graduates
Opportunity to work on frontier AI models with real-world impact
Access to significant computing resources for ambitious research
Collaborative environment with other top AI researchers and engineers
Flexible work arrangements and competitive compensation
Support for continued professional development and conference attendance
Clear path for growth into senior technical or leadership roles
Seniority level Seniority level Entry level
Employment type Employment type Full-time
Job function Job function Research and Engineering
Industries Transportation, Logistics, Supply Chain and Storage
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