This role is for one of the Weekday's clients
Min Experience: 8+ years

Location: Bengaluru

JobType: full-time

Requirements
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 Action Models (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

Requirements
Qualifications & Skills




- 8+ 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)

Must-have Skills
AI, Diffusion Models, Python

Valuable-to-have Skills
DDPM, CLIP, Pytorch

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