# AI Research Engineer > Weekday AI · Bengaluru, India · Full-time · Posted 2026-08-20 **Salary:** INR 1,500,000–3,000,000 **Workplace:** on_site **Department:** Weekday's Client via platform ## Description **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 ## Apply [Apply at Weekday AI](https://apply.workable.com/weekday-1/j/1BBADFBA27/apply) --- Powered by [Workable](https://www.workable.com)