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AI Research Apprentice

AI Research Apprentice

10xBengaluru, KA, IN
8 days ago
Job type
  • Quick Apply
Job description

As an AI Research Apprentice you'll push the frontiers of generative and multimodal learning that power our autonomous robots. You will prototype diffusion-based vision models, vision–language architectures (VLAs / VLMs) and automated data-annotation pipelines that turn raw site footage into training gold.

Key Responsibilities

  • Design and train diffusion-based generative models for realistic, high-resolution synthetic data.
  • Build compact Vision–Language Models (VLMs) to caption, query and retrieve job-site scenes for downstream perception tasks.
  • Develop Vision–Language Alignment (VLA) objectives that link textual work-orders with pixel-level segmentation masks.
  • Architect large-scale auto-annotation pipelines that transform unlabeled images / point-clouds into high-quality labels with minimal human input.
  • Benchmark model performance on accuracy, latency and memory for deployment on Jetson-class hardware; compress with distillation or LoRA.
  • Collaborate with perception and robotics teams to integrate research prototypes into live ROS 2 stacks.

Qualifications & Skills

  • Strong foundation in deep learning, probabilistic modeling and computer vision (coursework or research projects).
  • Hands-on experience with diffusion models (e.g., DDPM, Latent Diffusion) in PyTorch or JAX.
  • Familiarity with multimodal transformers / VLMs (CLIP, BLIP, Flamingo, LLaVA, etc.) and contrastive pre-training objectives.
  • Working knowledge of data-centric AI : active learning, self-training, pseudo-labeling and large-scale annotation pipelines.
  • Solid coding skills in Python, PyTorch / Lightning, plus git-driven workflows; bonus for C++ and CUDA kernels.
  • Bonus : experience with on-device inference (TensorRT, ONNX Runtime) & synthetic data tools (Isaac Sim).
  • Why Join Us

  • Research bleeding-edge generative & multimodal tech and watch it land on real construction robots.
  • Publish, patent and open-source : we encourage conference submissions and community engagement.
  • Help build a company from the ground up—your experiments can become flagship product features.
  • Requirements

  • PyTorch or JAX
  • CUDA kernels
  • ONNX Runtime
  • TensorRT
  • Isaac Sim
  • Latent Diffusion
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    Apprentice • Bengaluru, KA, IN