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Machine Learning (NLP) Engineer

Singularity Systems Inc. is an innovative AI company committed to transforming complex technologies into simple, accessible experiences for all. Our pending patented Real-Time AI framework, SinguAI, leverages Natural Language Processing and Computer Vision to make AI scalable and affordable, solving many automation challenges faced by industries today. SinguAI enables customers to quickly build and deploy highly accurate models with no coding involved. Our SinguAI platform adds value by making data machine-consumable through Intelligent Document Processing, Intelligent Image Processing, and Predictive Analytics. Join us today as we create a better tomorrow.

  • Finish machine learning use cases
  • Design and Implement machine learning solutions for customer’s projects
  • Build up machine learning prototype for NLP (Nature Language Processing)
  • Train/Test/Deploy/Maintain NLP AI models
  • Deploy machine learning solutions to customer’s on-premise environments
  • Develop NLP based software system
  • Work with research team to improve the company’s AI products

Must have:

  • Masters or higher Degree in Computer Science or equivalent
  • Solid foundation in data structures and complex algorithms
  • Experience with machine learning and nature language processing (NLP)
  • Hands-on experience in coding, and familiar with Python, JavaScript, Node.JS, etc.
  • Experienced in transfer learning/online learning/ GAN(Generative Adversarial Network)
  • Experience in at least one deep learning framework such as TensorFlow, PyTorch
  • Excellent verbal and written communication skills in English
  • Ability to learn different technologies quickly

Nice to have: 

  • Experience in text mining, deep learning
  • Experience in implementing transformers
  • Experience in big data platforms such as Hadoop, Spark, etc
We provide
  • Competitive salary/benefits/stock options
  • A dynamic working environment on fast-growth path together with the company
  • Diversified and tailored career paths

To apply, please email your resume and cover letter to