AI Research Engineer (Multi-Modal & Vision)
Tasks
- Apply knowledge distillation
- Apply reinforcement learning from human feedback
- Build multimodal datasets
- Collaborate on research publications
- Conduct vision language model research and development
- Design supervised fine tuning
- Develop benchmarking systems and evaluation frameworks
- Develop model optimization and compression
- Implement distributed training workflows
- Monitor multimodal learning research
Perks/Benefits
Skills/Tech-stack
Benchmarking | Distributed Training | Efficient Fine Tuning | Evaluation Frameworks | Fine Tuning | GPU infrastructure | Human Feedback | Knowledge Distillation | Machine Learning | Machine Learning Pipelines | Model Optimization | Multimodal AI | Neural Network | Neural Network Compression | Open Source | Parameter efficient fine-tuning | Reinforcement Learning | Supervised Fine Tuning | Vision-language
Education
Roles
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