The company is seeking to develop and optimize AI systems that push the boundaries of what's possible in machine learning, specifically in large language models, optical character recognition, and model scaling.
Requirements
- 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
- 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
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
Other
- PhD in Computer Science, Machine Learning, AI, or a related field (completed within the last year)
- Excellent problem-solving skills with a methodical approach to experimentation
- Strong communication skills to explain complex technical concepts clearly
- Medical benefits start on first day of employment
- 36 PTO days( Sick, Casual and Earned) , 5 recharge days, 2 volunteer days
- Home Office setups and Technology reimbursement
- Lifestyle & Family benefits
- Annual Swags/ Festive Swags
- Ongoing learning & development opportunities ( Professional development program, Toast Master club etc.)
