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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 agile construction environments.

This role offers an opportunity 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, robustness, latency, and scalability
- Collaborate with perception, robotics, controls, and engineering teams to integrate AI solutions into production systems
- Prepare internal technical reports and contribute to external research publications and conferences
- Mentor interns and junior AI/ML engineers and provide technical leadership on research initiatives

What's Makes You a Great Fit

- 8+ years of experience in deep-learning research and development, or an advanced degree such as an M.S./Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related discipline
- Strong hands-on expertise in diffusion models, including DDPM, LDM, and ControlNet
- Experience with multimodal transformers and Vision-Language Models, such as CLIP, BLIP-2, LLaVA, or Flamingo
- Proven experience building large-scale, data-centric AI workflows involving active learning, pseudo-labeling, weak supervision, or synthetic data
- Advanced proficiency in Python and PyTorch or JAX, along with experience in scalable model training and experiment tracking
- Familiarity with PyTorch Lightning, DeepSpeed, Ray, or comparable distributed-training frameworks
- Strong understanding of CUDA, C++, TensorRT, and ONNX Runtime for performance optimization and edge AI deployment
- Solid mathematical foundation in probability, optimization, information theory, and machine learning
- Ability to translate advanced research concepts into clean, scalable, production-ready implementations
- Strong problem-solving, research, communication, and technical leadership skills
- Experience with ROS 2, Nav2, MoveIt 2, Open3D, or robotics perception systems is an added advantage
- Exposure to synthetic data generation using platforms such as Isaac Sim will be highly valuable

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