DigitalOwl (formerly Legal Automation) is an exciting startup that helps legal firms and insurance companies to automate and leverage their data in innovative ways. We recently completed our funding round and are already working with a few leading companies


We’re looking for experienced top-notch Full-Stack developer to help us build our core products, both front-end and back-end. Our applications are complex and challenging, and we are looking for individuals that are up for a challenge. 


What You’ll Do?


  • Design and Develop our back-end microservices.

  • Design and Develop our front-end applications.

  • Integrate our products to SaaS and on-premise environment



  • Passionate about learning and always seek opportunities to expand your knowledge.

  • 3+ years experience in Node.js.

  • 3+ years experience with Frameworks such as Angular, React or Vue.

  • Proficiency in Typescript.

  • Proficiency in Git and software development workflow.

  • Proficiency in micro-services - nice to have.


We’re looking for experienced top-notch Data Scientists and Machine Learning experts to help us build our core algorithms and to develop state of the art NLP engines. In this role, you’ll work on huge, unique and not publicly available text corpus, develop AI-based solutions for complex problems and integrate your algorithms into our products.


What You’ll Do?


  • Build NLP/ML models at the heart of our products.

  • Build infrastructure to support NLP/ML modeling, experimentation, and deployment.

  • Take ownership of NLP/ML trainer tools and data processing pipelines.

  • Brainstorm and prototype algorithmic improvements.



  • Bsc, M.S. or Ph.D. in Computer Science, Mathematics or a related field.

  • Academic background in deep learning, natural language processing, machine learning

  • 2+ years’ experience in Deep Learning algorithms

  • 2+ years’ experience with DL frameworks (e.g. TensorFlow, PyTorch, Mxnet, Caffe, etc.)

  • Well-versed and up to date with the latest SOTA NLP techniques and models.

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