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Hybrid (Palo Alto, CA)$240k - $300kFull-timePosted 11mo ago

About the role

Senior engineering leadership role focused on building and deploying AI/ML systems for automated data extraction and workflow automation at NanoNets.

Responsibilities

  • Strong Machine Learning & DL concepts.
  • Strong command in low-level operations involved in building architectures like Transformers, Efficientnet, ViT etc., and experience in implementing those in pytorch/jax/tensorflow.
  • Experience with the latest semi-supervised, unsupervised and few shot architectures in Deep Learning methods in NLP/CV domain
  • Strong command in probability and statistics.
  • Strong programming skills.
  • Have previously shipped something of significance, either implemented some paper or made significant changes in an existing architecture etc
  • Ideal candidate should have developed their own DL architectures apart from using open source architectures.
  • Ideal candidate would have extensive experience with computer vision applications.

Qualifications

  • Experience building and deploying systems
  • Experience with Theano/Torch/Caffe/Keras/Python/Tensorflow all useful
  • Experience writing production software would be a plus
  • The ideal candidate should have developed their own DL architectures apart from using open source architectures.
  • Extensive experience with computer vision applications.
  • Engineering degree from a top tier institute
  • Prior shipping of significant ML/DL work (papers, architectures, deployments)

Skills

Required:Machine LearningTransformer architecturesPyTorch/JAX/TensorFlowProbability & StatisticsSystem building/deployment
Last updated Oct 14, 2026. Interested? Apply on the company site.
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About NanoNets

Automatic Data Extraction

Nanonets is an AI-driven solution that automates document processing and data extraction workflows. Leveraging advanced Optical Character Recognition (OCR) and deep learning models, Nanonets helps companies automate document-heavy business processes like accounts payable, order processing and insurance underwriting. Nanonets processes unstructured documents such as invoices, receipts, purchase orders, contracts, claims, and forms and converts them into structured output.

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