Lead AI Research Engineer

2 weeks ago

Bengaluru, Karnataka, India 10x Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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, DINO, 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.

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