AI Research Engineer
Tasks
- Build auto annotation and data centric AI pipelines
- Collaborate with computer vision perception robotics and controls teams
- Create technical documentation and support research publications
- Design and train vision language models and vision language actions
- Develop active learning pseudo labeling and self training workflows
- Generate synthetic data and perform domain adaptation
- Integrate AI models with robotics systems
- Optimize models for edge deployment
- Own end to end research lifecycle from problem definition to production handoff
- Process large scale image video and point cloud datasets
- Research and develop diffusion based generative AI models
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | C++ | CUDA | Computer Vision | DeepSpeed | Diffusion Models | Domain Adaptation | Generative AI | Information theory | Int8 Quantization | JAX | Knowledge Distillation | Language Models | Linear Algebra | LoRA | Multimodal Transformers | ONNX Runtime | Optimization | Probability | Pseudo-labeling | PyTorch | PyTorch Lightning | Python | Ray | Self-training | Synthetic data | TensorRT | Vision Language Models | Vision-language | Weak Supervision
Education
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