AI Research Engineer

This role is for one of the Weekday's clients Salary range: Rs 1500000 - Rs 3000000 (ie INR 15 - 30 LPA) Min Experience: 3+ years Location: Bangalore, Karnataka JobType: full-time We are looking for an AI Research Engineer to work on advanced Computer Vision, Generative AI, Vision-Language Models (VLMs), and Vision-Language-Action (VLA) systems for autonomous robotics. The role combines AI research with production engineering taking ideas from research and experimentation through evaluation, optimization, and deployment on real-world robotic systems. This is a research-focused AI role working on Computer Vision, Generative AI, and multimodal models for autonomous systems. The role involves developing Diffusion Models, VLMs, and data-centric AI solutions to improve machine perception and understanding, while taking research models through experimentation, optimization, and deployment on real-world edge systems. Requirements Key Responsibilities: - Research and develop Diffusion-based Generative AI models for synthetic data generation, defect simulation, photorealistic environments, and domain adaptation. - Design and train VLMs/VLAs connecting text instructions, visual data, CAD/spatial information, and sensor inputs for scene understanding and intelligent decision-making. - Build scalable auto-annotation and data-centric AI pipelines using Active Learning, Self-Training, Pseudo-Labeling, Weak Supervision, and Synthetic Data. - Develop AI workflows capable of handling millions of images, video frames, and point clouds with minimal manual annotation. - Optimize models for edge deployment using INT8 quantization, LoRA, Knowledge Distillation, TensorRT, ONNX Runtime, CUDA, and C++ . - Work with NVIDIA Jetson-class edge hardware and integrate AI models with robotics systems. - Own the complete research lifecycle: problem definition → literature review → prototyping → training → evaluation → optimization → production handoff . - Collaborate with Computer Vision, Perception, Robotics, and Controls teams. - Contribute to technical documentation, research publications, and mentor junior engineers/interns. Requirements: - 3 to 7 years in Deep Learning, AI Research, Computer Vision, or related R&D; M.S./Ph.D. in CS, EE, Robotics, or related fields is highly relevant. - Strong hands-on experience with Diffusion Models: DDPM, LDM, ControlNet, Generative Modeling, Synthetic Data, or Domain Adaptation. - Strong experience with VLMs / Multimodal Transformers , such as CLIP, BLIP-2, LLaVA, Flamingo , or equivalent architectures. - Proven experience with Active Learning, Pseudo-Labeling, Self-Training, Weak Supervision, and automated annotation . - Advanced Python + PyTorch skills; JAX is a plus. - Experience with scalable training frameworks such as PyTorch Lightning, DeepSpeed, Ray , or equivalent. - Strong understanding of Probability, Optimization, Linear Algebra, and Information Theory . - Ability to translate research concepts into production-ready AI systems . Good to Have - Robotics / Autonomous Systems / Embodied AI / Perception - ROS 2, Isaac Sim, Open3D, Nav2, MoveIt 2 - 3D Computer Vision / Point Clouds - TensorRT / ONNX Runtime / CUDA / C++ - Experience deploying models on NVIDIA Jetson or edge AI devices - Strong research publications in AI/ML, Computer Vision, Generative AI, or Robotics. Must-have skills Computer Vision, Diffusion Models, AI Research Good-to-have skills Python, Pytorch, Vision Language Model