AI Research Engineer

Key Responsibilities
Research diffusion-based generative models for simulation, defect synthesis, and domain adaptation.
Develop and train Vision-Language (VLM) and Vision-Language Action (VLA) models.
Build auto-annotation pipelines using active learning, self-training, and synthetic data.
Optimize and compress AI models for Jetson-class devices under ROS 2.
Own the AI lifecycle from research through production hand-off.
Publish technical reports/papers and mentor junior engineers.

Requirements
3+ years of experience in Deep Learning R&D;, OR MS/PhD in CS, EE, or Robotics.
Solid knowledge of DDPM, LDM, ControlNet, CLIP, BLIP-2, LLaVA, or Flamingo.
Experience with active learning, pseudo-labeling, and weak supervision.




Solid Python and experience with PyTorch/JAX, PyTorch Lightning, DeepSpeed, or Ray.
Familiarity with TensorRT, ONNX Runtime, CUDA/C++ optimization.
Robust mathematical foundation in probability, optimization, and information theory.
Bonus: Experience with Isaac Sim, ROS2, Nav2, MoveIt2, or Open3D.

If you are passionate about AI research, computer vision, generative models, and robotics, we'd love to hear from you.

Apply Now

Pay: ₹2,500,000.00 - ₹3,000,000.00 per year

Work Location: In person

📌 Ai Research Engineer Bengaluru (India)
🏢 HR & Recruitment Consultant
📍 India