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Experience: 8+ yrs

Location: Bengaluru

Job Type: Full-time

We are looking for a highly experienced
AI Research Engineer
to join an advanced AI research team focused on transforming cutting-edge developments in
Vision-Language Models (VLMs), Vision-Language Action Models (VLAs), diffusion models, and multimodal AI
into robust, real-time systems for dynamic construction environments.

This role offers an chance to work at the intersection of
deep learning research, computer vision, generative AI, robotics, and edge deployment
. You will be responsible for taking research concepts from problem definition and experimentation through evaluation and production hand-off. The ideal candidate will have strong research depth, hands-on experience with large-scale AI systems, and the ability to translate complex mathematical and theoretical concepts into reliable production solutions.

Requirements
Key Responsibilities




- Research and develop diffusion-based generative models for photorealistic surface simulation, defect synthesis, and domain adaptation
- Design and train VLM and VLA architectures that integrate textual instructions, CAD plans, visual inputs, and sensor data
- Develop scalable auto-annotation and data-centric AI pipelines using active learning, pseudo-labeling, self-training, weak supervision, and synthetic data
- Build and optimize deep-learning models for large-scale training and real-time inference
- Apply techniques such as INT8 quantization, LoRA, knowledge distillation, and model compression for edge deployment
- Optimize models for Jetson-class hardware, CUDA, TensorRT, and ONNX Runtime within robotics environments
- Own the complete research lifecycle, including problem definition, literature review, prototyping, experimentation, evaluation, and production hand-off
- Establish offline and online evaluation frameworks to measure model accuracy,

📌 Lead AI Engineer (Bengaluru)
🏢 Weekday AI (YC W21)
📍 Bengaluru