AI Frontier Model Scientist – Fresh PhD Graduate
| Company | FourKites |
|---|---|
| Location | Chicago, IL, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Entry Level/New Grad |
Requirements
- 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, TensorFlow, 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
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
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.)