(3 Days Left) AI Research Engineer

3 days ago

Bengaluru, India 10x Full time

Drive the next wave of generative and multimodal intelligence that powers our autonomous robots. As a core member of the AI Research team you'll turn cutting-edge, vision-language and diffusion advances into robust real-time systems that see reason and act on dynamic construction sites. Key Responsibilities * Research & innovate diffusion-based generative models for photorealistic wall-surface simulation, defect synthesis and domain adaptation. * Architect and train Vision-Language Models (VLMs) and Vision-Language Alignment (VLA) objectives that connect textual work orders, CAD plans and sensor data to pixel-level understanding. * Lead development of auto-annotation pipelines (active learning, self-training, synthetic data) that scale to millions of frames and point-clouds with minimal human effort. * Optimize and compress models (INT8, LoRA, distillation) for deployment on Jetson-class edge devices under ROS 2. * Own the full lifecycle—problem definition, literature review, prototyping, offline/online evaluation and production hand-off to perception & controls teams. * Publish internal tech reports and external conference papers; mentor interns and junior engineers. Qualifications & Skills * 3+ years in deep-learning R/&D or Ph.D./M.S. in CS, EE, Robotics or related field with strong publication record. * Demonstrated expertise in diffusion models (DDPM, LDM, ControlNet) and multimodal transformers / VLMs (CLIP, BLIP-2, LLaVA, Flamingo). * Proven success building large-scale data-centric AI workflows—active learning, pseudo-labeling, weak supervision. * Advanced proficiency in Python, PyTorch (or JAX), experiment tracking and scalable training (PyTorch Lightning, DeepSpeed, Ray). * Familiarity with edge-AI runtimes (TensorRT, ONNX Runtime), and CUDA / C++ performance tuning. * Strong mathematical foundation (probability, information theory, optimization) and ability to translate theory into production code. * Bonus: experience with synthetic data generation in Isaac Sim or robotics perception stacks (ROS2, Nav2, MoveIt 2, Open3D). Why join us? * Own breakthrough tech from idea to autonomous robot on active job-sites—your work leaves the lab fast. * Collaborate cross-functionally with perception, controls, and product teams & publish at top venues with company support. * Shape an industry by replacing dangerous, repetitive construction labor with intelligent robots. * Competitive salary + equity, hardware budget, flexible hybrid work, and a culture that prizes deep work and rapid iteration. Requirements - Vision-Language Models - Vision-Language Alignment - R/&D - Ph.D./M.S. in CS, EE, Robotics - TensorRT, - ONNX Runtime - CUDA / C++

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